amd

Meta-Llama-3.1-8B-Instruct-FP8-KV - ## Introduction This model was created by applying Quark with calibration samples from Pile dataset. - ## Quantization Stragegy - Quantized Layers: All linear layers excluding "lmhead" - Weight: FP8 symmetric per-tensor - Activation: FP8 symmetric per-tensor - KV Cache: FP8 symmetric per-tensor - ## Quick Start 1. Download and install Quark 2. Run the quantization script in the example folder using the following command line: Deployment Quark has its own export format and allows FP8 quantized models to be efficiently deployed using the vLLM backend(vLLM-compatible). Evaluation Quark currently uses perplexity(PPL) as the evaluation metric for accuracy loss before and after quantization.The specific PPL algorithm can be referenced in the quantizequark.py. The quantization evaluation results are conducted in pseudo-quantization mode, which may slightly differ from the actual quantized inference accuracy. These results are provided for reference only. License Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved.

- Model Architecture: Llama-3.3 - Input: Text - Output: Text - Supported Hardware Microarchitecture: AMD MI350/MI355 - ROCm: 7.0 - PyTorch: 2.8.0 - Transformers: 4.53.0 - Operating System(s): Linux - Inference Engine: vLLM - Model Optimizer: AMD-Quark (V0.9) - Weight quantization: OCP MXFP4, Static - Activation quantization: OCP MXFP4, Dynamic - KV cache quantization: OCP FP8, Static - Calibration Dataset: Pile This model was built with Meta Llama by applying AMD-Quark for MXFP4 quantization. This model was obtained by quantizing Llama-3.3-70B-Instruct's weights and activations to MXFP4 and KV caches to FP8, using AutoSmoothQuant algorithm in AMD-Quark. This model can be deployed efficiently using the vLLM backend. The model was evaluated on MMLU, GSM8KCOT, ARC Challenge and IFEVAL. Evaluation was conducted using the framework lm-evaluation-harness and the vLLM engine. IFEVAL (0-shot, (instlevelstrictacc+promptlevelstrictacc)/2) The results were obtained using the following commands: License Modifications Copyright(c) 2025 Advanced Micro Devices, Inc. All rights reserved.

Introduction Nitro-E is a family of text-to-image diffusion models focused on highly efficient training. With just 304M parameters, Nitro-E is designed to be resource-friendly for both training and inference. For training, it only takes 1.5 days on a single node with 8 AMD Instinct™ MI300X GPUs. On the inference side, Nitro-E delivers a throughput of 18.8 samples per second (batch size 32, 512px images) a single AMD Instinct MI300X GPU. The distilled version can further increase the throughput to 39.3 samples per second. The release consists of: Nitro-E-512px: a EMMDiT-based 20-steps model train from scratch. Nitro-E-512px-dist: a EMMDiT-based model distilled from Nitro-E-512px. Nitro-E-512px-GRPO: a post-training model fine-tuned from Nitro-E-512px using Group Relative Policy Optimization (GRPO) strategy. Model architecture: We propose Efficient Multimodal Diffusion Transformer (E-MMDiT), an efficient and lightweight multimodal diffusion model with only 304M parameters for fast image synthesis requiring low training resources. Our design philosophy centers on token reduction as the computational cost scales significantly with the token count. We adopt a highly compressive visual tokenizer to produce a more compact representation and propose a novel multi-path compression module for further compression of tokens. To enhance our design, we introduce Position Reinforcement, which strengthens positional information to maintain spatial coherence, and Alternating Subregion Attention (ASA), which performs attention within subregions to further reduce computational cost. In addition, we propose AdaLN-affine, an efficient lightweight module for computing modulation parameters in transformer blocks. See our technical blog post for more details. Dataset: Our models were trained on a dataset of ~25M images consisting of both real and synthetic data sources that are openly available on the internet. We make use of the following datasets for training: Segment-Anything-1B, JourneyDB, DiffusionDB and DataComp as prompt of the generated data. Training cost: The Nitro-E-512px model requires only 1.5 days of training from scratch on a single node with 8 AMD Instinct™ MI300X GPUs. Copyright (c) 2025 Advanced Micro Devices, Inc. All Rights Reserved.

Grok-1-W4A8KV8 Introduction This model was created by applying Quark with calibration samples from Pile dataset. Quantization Stragegy - Quantized Layers: All linear layers excluding "lmhead", ".gate" - Weight: FP8 symmetric per-tensor, additionally, INT4 symmetric per-channel for MoE linear - Activation: FP8 symmetric per-tensor - KV Cache: FP8 symmetric per-tensor INT4 Packing Every eight `int4` values are packed into a single `int32` integeter following the sequence defined by `ordermap = [0, 2, 4, 6, 1, 3, 5, 7]`. Quick Start Follow Quantizing Sharded Grok-1 with Quark for SGLang to produced the quantized model using Quark. Deployment Quark has its own export format and allows FP8 quantized models to be efficiently deployed using the SGLang backend. Evaluation License Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved.

- Model Architecture: Llama-3.1 - Input: Text - Output: Text - Supported Hardware Microarchitecture: AMD MI350/MI355 - ROCm: 7.0 - PyTorch: 2.8.0 - Transformers: 4.53.0 - Preferred Operating System(s): Linux - Inference Engine: vLLM - Model Optimizer: AMD-Quark (V0.9) - Weight quantization: OCP MXFP4, Static - Activation quantization: OCP MXFP4, Dynamic - KV cache quantization: OCP FP8, Static - Calibration Dataset: Pile This model was built with Meta Llama by applying AMD-Quark for MXFP4 quantization. The model was quantized from meta-llama/Llama-3.1-405B-Instruct using AMD-Quark. Weights and activations were quantized to MXFP4, and KV caches were quantized to FP8. The AutoSmoothQuant algorithm was applied to enhance accuracy during quantization. This model can be deployed efficiently using the vLLM backend. The model was evaluated on MMLU, GSM8KCOT, ARC Challenge and IFEVAL. Evaluation was conducted using the framework lm-evaluation-harness and the vLLM engine. IFEVAL (0-shot, (instlevelstrictacc+promptlevelstrictacc)/2) The results were obtained using the following commands: Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved.

meta-llama/Llama-3.2-1B-Instruct - ## Introduction This model was prepared using the AMD Quark Quantization tool, followed by necessary post-processing. - ## Quantization Strategy - AWQ / Group 128 / Asymmetric / UINT4 Weights / BFP16 activations - Excluded Layers: None - ## Quick Start For quickstart, refer to Ryzen AI doucmentation Evaluation scores The MMLU scores are astronomy: 46.05, philosophy: 49.2, and management: 56.31. Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. 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- Model Architecture: DeepSeek-R1 - Input: Text - Output: Text - Supported Hardware Microarchitecture: AMD MI350/MI355 - ROCm: 7.0 - PyTorch: 2.8.0 - Transformers: 4.53.0 - Operating System(s): Linux - Inference Engine: SGLang - Model Optimizer: AMD-Quark (V0.10) - Weight quantization: OCP MXFP4, Static - Activation quantization: OCP MXFP4, Dynamic - KV cache: OCP FP8, Static - Calibration Dataset: Pile This model was built with deepseek-ai DeepSeek-R1 model by applying AMD-Quark for MXFP4 quantization. The model was quantized from deepseek-ai/DeepSeek-R1 using AMD-Quark. Both weights and activations were quantized to MXFP4 format. Before executing the quantization script below, the original FP8 model must first be dequantized to BFloat16. You can either perform the dequantization manually using this conversion script, or use the pre-converted BFloat16 model available at unsloth/DeepSeek-R1-BF16. This model can be deployed efficiently using the SGLang backend. Evaluation The model was evaluated using SGLang and lm-evaluation-harness frameworks. The result of AIME24 was obtained using SGLang while result of GSM8K was obtained using vLLM. Both evaluations were conducted via forked lm-evaluation-harness. License Modifications Copyright(c) 2025 Advanced Micro Devices, Inc. All rights reserved.

Llama-3.2-1B-Instruct-onnx-ryzenai-npu - ## Introduction This model was created using Quark Quantization, followed by OGA Model Builder, and finalized with post-processing for NPU deployment. - ## Quantization Strategy - AWQ / Group 128 / Asymmetric / BFP16 activations / UINT4 Weights - ## Quick Start For quickstart, refer to Ryzen AI documentation Evaluation scores - The perplexity measurement is run on the wikitext-2-raw-v1 (raw data) dataset provided by Hugging Face. Perplexity score measured for prompt length 2k is 14.9164. - The average MMLU scores are astronomy - 46.05, philosophy - 49.2 and management - 56.31. License Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. 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Introduction Nitro-T is a family of text-to-image diffusion models focused on highly efficient training. Our models achieve competitive scores on image generation benchmarks compared to previous models focused on efficient training while requiring less than 1 day of training from scratch on 32 AMD Instinct™ MI300X GPUs. The release consists of: Nitro-T-0.6B: a 512px DiT-based model Nitro-T-1.2B: a 1024px MMDiT-based model ⚡️ Open-source code! Our GitHub provides training and data preparation scripts to reproduce our results. We hope this codebase for efficient diffusion model training enables researchers to iterate faster on ideas and lowers the barrier for independent developers to build custom models. 📝 Read our technical blog post for more details on the techniques we used to achieve fast training and for results and evaluations. Model architecture: Nitro-T-0.6B is a text-to-image Diffusion Transformer that resembles the architecture of PixArt-α. It uses the latent space of Deep Compression Autoencoder (DC-AE) and uses a Llama 3.2 1B model for text conditioning. Additionally, several techniques were used to reduce training time. See our technical blog post for more details. Dataset: The Nitro-T models were trained on a dataset of ~35M images consisting of both real and synthetic data sources that are openly available on the internet. See our GitHub repo for data processing scripts. Training cost: Nitro-T-0.6B requires less than 1 day of training from scratch on 32 AMD Instinct™ MI300X GPUs. You must use `diffusers>=0.34` in order to load the model from the Huggingface hub. For more details on training and evaluation please visit the GitHub repo and read our technical blog post. | | |:--:| | Images generated by Nitro-T-1.2B at 1024px resolution | | | |:--:| | Images generated by Nitro-T-0.6B at 512px resolution | License Copyright (c) 2018-2025 Advanced Micro Devices, Inc. All Rights Reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

- Model Architecture: DeepSeek-R1 - Input: Text - Output: Text - Supported Hardware Microarchitecture: AMD MI350/MI355 - ROCm: 7.0 - PyTorch: 2.8.0 - Transformers: 4.53.0 - Operating System(s): Linux - Inference Engine: SGLang - Model Optimizer: AMD-Quark (V0.10) - Weight quantization: OCP MXFP4, Static - Activation quantization: OCP MXFP4, Dynamic - Calibration Dataset: Pile This model was built with deepseek-ai DeepSeek-R1 model by applying AMD-Quark for MXFP4 quantization. The model was quantized from deepseek-ai/DeepSeek-R1 using AMD-Quark. Both weights and activations were quantized to MXFP4 format, and the AutoSmoothQuant algorithm was applied to enhance accuracy. Before executing the quantization script below, the original FP8 model must first be dequantized to BFloat16. You can either perform the dequantization manually using this conversion script, or use the pre-converted BFloat16 model available at unsloth/DeepSeek-R1-BF16. This model can be deployed efficiently using the SGLang backend. The model was evaluated on reasoning tasks including AIME24, MMLUCOT, and GSM8K via forked lm-evaluation-harness . The results of AIME24 and MMLUCOT were obtained using SGLang while result of GSM8K was obtained using vLLM. All the evaluations were conducted via forked lm-evaluation-harness. License Modifications Copyright(c) 2025 Advanced Micro Devices, Inc. All rights reserved.

mistralai/Mistral-7B-Instruct-v0.3 - ## Introduction This model was prepared using the AMD Quark Quantization tool, followed by necessary post-processing. - ## Quantization Strategy - AWQ / Group 128 / Asymmetric / UINT4 Weights / FP16 activations - Excluded Layers: None - ## Quick Start For quickstart, refer to Ryzen AI doucmentation Evaluation scores The perplexity measurement is run on the wikitext-2-raw-v1 (raw data) dataset provided by Hugging Face. Perplexity score measured for prompt length 2k is 5.7053. License Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

DeepSeek-R1-Distill-Llama-8B-onnx-ryzenai-npu - ## Introduction This model was created using Quark Quantization, followed by OGA Model Builder, and finalized with post-processing for NPU deployment. - ## Quantization Strategy - AWQ / Group 128 / Asymmetric / BFP16 activations / UINT4 Weights - ## Quick Start For quickstart, refer to Ryzen AI documentation Evaluation scores - The perplexity measurement is run on the wikitext-2-raw-v1 (raw data) dataset provided by Hugging Face. Perplexity score measured for prompt length 2k is 14.3902. - The average MMLU scores are astronomy - 55.92, philosophy - 50.48 and management - 56.31. License Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

Qwen2.5-3B-Instruct-onnx-ryzenai-npu - ## Introduction This model was created using Quark Quantization, followed by OGA Model Builder, and finalized with post-processing for NPU deployment. - ## Quantization Strategy - AWQ / Group 128 / Asymmetric / BFP16 activations / UINT4 Weights - ## Quick Start For quickstart, refer to Ryzen AI documentation Evaluation scores - The perplexity measurement is run on the wikitext-2-raw-v1 (raw data) dataset provided by Hugging Face. Perplexity score measured for prompt length 2k is 9.72552. - The average MMLU scores are astronomy - 71.05, philosophy - 72.03 and management - 74.76. Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. 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Mixtral-8x7B-Instruct-v0.1-WMXFP4FP8-AMXFP4FP8-AMP-KVFP8 This model was created by applying Quark with calibration samples from Pile dataset. - Quantized Layers: All linear layers excluding `lmhead`, `.gate` - Weight: Auto Mixed Precision quantized by Quark, each weight has either quantization scheme in candidates of - FP8 symmetric per-tensor - OCP Microscaling (MX) FP4 - Activation: Auto Mixed Precision quantized by Quark, each activation input has the same quantization scheme with weight, i.e., in candidates of - FP8 symmetric per-tensor - OCP Microscaling (MX) FP4 - KV Cache: FP8 symmetric per-tensor 1. Download and install Quark 2. [TODO] We will provide example script(s) to run auto mixed precision (AMP) quantizations later. The Quark quantized Auto Mixed Precision (AMP) models are now supported to be easily deployed in vLLM backend (vLLM-compatible). The quantization evaluation results are conducted in pseudo-quantization mode, which may slightly differ from the actual quantized inference accuracy. These results are provided for reference only. | Quant scheme | arc challenge (↑) (acc) | | gsm8k (↑) (strict-match) | | mmlu (↑) (acc) | | wikitext (↓) (wordperplexity) | | winogrande (↑) (acc) | | |--------------|-----------------------------|-------|-----------------------------|-------|-------------------|-------|-----------------------------------|-------|--------------------------|-------| | | absolute value | recovery rate | absolute value | recovery rate | absolute value | recovery rate | absolute value | recovery rate | absolute value | recovery rate | | BF16 | 0.6271 | 100.0% | 0.6384 | 100.0% | 0.6893 | 100.0% | 5.7259 | 100.0% | 0.7664 | 100.0% | | FP8 | 0.6220 | 99.2% | 0.6384 | 100.0% | 0.6816 | 98.9% | 5.8092 | 98.6% | 0.7830 | 102.2% | | AMP | 0.6195 | 98.8% | 0.6277 | 98.3% | 0.6806 | 98.7% | 6.2026 | 92.3% | 0.7719 | 100.7% | | MXFP4 | 0.5922 | 94.4% | 0.4845 | 75.9% | 0.6364 | 92.3% | 7.0935 | 80.7% | 0.7474 | 97.5% | Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

meta-llama/Llama-3.2-3B-Instruct-hybrid - ## Introduction This model was prepared using the AMD Quark Quantization tool, followed by necessary post-processing. - ## Quantization Strategy - AWQ / Group 128 / Asymmetric / UINT4 Weights / BFP16 activations - Excluded Layers: None - ## Quick Start For quickstart, refer to Ryzen AI doucmentation Evaluation scores The MMLU scores are astronomy: 66.45, philosophy: 64.31, and management: 71.84. Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. 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Qwen2.5-7B-Instruct-onnx-ryzenai-npu - ## Introduction This model was created using Quark Quantization, followed by OGA Model Builder, and finalized with post-processing for NPU deployment. - ## Quantization Strategy - AWQ / Group 128 / Asymmetric / BFP16 activations / UINT4 Weights - ## Quick Start For quickstart, refer to Ryzen AI documentation Evaluation scores - The perplexity measurement is run on the wikitext-2-raw-v1 (raw data) dataset provided by Hugging Face. Perplexity score measured for prompt length 2k is 10.3951. - The average MMLU scores are astronomy - 83.55, philosophy - 74.92 and management - 84.47. Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. By clicking to agree or by using or distributing any portion or element of the Tongyi Qianwen Materials, you will be deemed to have recognized and accepted the content of this Agreement, which is effective immediately. 1. Definitions a. This Tongyi Qianwen LICENSE AGREEMENT (this "Agreement") shall mean the terms and conditions for use, reproduction, distribution and modification of the Materials as defined by this Agreement. b. "We"(or "Us") shall mean Alibaba Cloud. c. "You" (or "Your") shall mean a natural person or legal entity exercising the rights granted by this Agreement and/or using the Materials for any purpose and in any field of use. d. "Third Parties" shall mean individuals or legal entities that are not under common control with Us or You. e. "Tongyi Qianwen" shall mean the large language models (including Qwen model and Qwen-Chat model), and software and algorithms, consisting of trained model weights, parameters (including optimizer states), machine-learning model code, inference-enabling code, training-enabling code, fine-tuning enabling code and other elements of the foregoing distributed by Us. f. "Materials" shall mean, collectively, Alibaba Cloud's proprietary Tongyi Qianwen and Documentation (and any portion thereof) made available under this Agreement. g. "Source" form shall mean the preferred form for making modifications, including but not limited to model source code, documentation source, and configuration files. h. 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amd/DeepSeek-R1-Distill-Llama-8B-awq-asym-uint4-g128-lmhead-onnx-hybrid - ## Introduction This model was prepared using the AMD Quark Quantization tool, followed by necessary post-processing. - ## Quantization Strategy - AWQ / Group 128 / Asymmetric / UINT4 Weights / BFP16 activations - Excluded Layers: None - - ## Quick Start For quickstart, refer to Ryzen AI doucmentation Evaluation scores The MMLU scores are astronomy: 57.89, philosophy: 54.66, and management: 66.02. License Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

microsoft/Phi-3.5-mini-instruct - ## Introduction This model was prepared using the AMD Quark Quantization tool, followed by necessary post-processing. - ## Quantization Strategy - AWQ / Group 128 / Asymmetric / UINT4 Weights / FP16 activations - Excluded Layers: None - ## Quick Start For quickstart, refer to Ryzen AI doucmentation Evaluation scores The perplexity measurement is run on the wikitext-2-raw-v1 (raw data) dataset provided by Hugging Face. Perplexity score measured for prompt length 2k is 7.0271. License Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

Phi-3.5-mini-instruct-onnx-ryzenai-npu - ## Introduction This model was created using Quark Quantization, followed by OGA Model Builder, and finalized with post-processing for NPU deployment. - ## Quantization Strategy - AWQ / Group 128 / Asymmetric / BFP16 activations / UINT4 Weights - ## Quick Start For quickstart, refer to Ryzen AI documentation Evaluation scores - The perplexity measurement is run on the wikitext-2-raw-v1 (raw data) dataset provided by Hugging Face. Perplexity score measured for prompt length 2k is 6.8701. - The average MMLU scores are astronomy - 75, philosophy - 69.77 and management - 79.61. License Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

microsoft/Phi-4-mini-instruct - ## Introduction This model was prepared using the AMD Quark Quantization tool, followed by necessary post-processing. - ## Quantization Strategy - GPTQ / Group size per layer lmhead 32 / Asymmetric / UINT4 Weights / BFP16 activations - Excluded Layers: None - ## Quick Start For quickstart, refer to Ryzen AI doucmentation Evaluation scores The MMLU scores are, astronomy: 67.76, philosophy: 69.45, and management: 72.82 Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

Qwen2-1.5B-onnx-ryzenai-npu - ## Introduction This model was created using Quark Quantization, followed by OGA Model Builder, and finalized with post-processing for NPU deployment. - ## Quantization Strategy - AWQ / Group 128 / Asymmetric / BFP16 activations / UINT4 Weights - ## Quick Start For quickstart, refer to Ryzen AI documentation Evaluation scores - The perplexity measurement is run on the wikitext-2-raw-v1 (raw data) dataset provided by Hugging Face. Perplexity score measured for prompt length 2k is 11.0148. - The average MMLU scores are astronomy - 52.63, philosophy - 59.16 and management - 74.76. Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. By clicking to agree or by using or distributing any portion or element of the Tongyi Qianwen Materials, you will be deemed to have recognized and accepted the content of this Agreement, which is effective immediately. 1. Definitions a. This Tongyi Qianwen LICENSE AGREEMENT (this "Agreement") shall mean the terms and conditions for use, reproduction, distribution and modification of the Materials as defined by this Agreement. b. "We"(or "Us") shall mean Alibaba Cloud. c. "You" (or "Your") shall mean a natural person or legal entity exercising the rights granted by this Agreement and/or using the Materials for any purpose and in any field of use. d. 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meta-llama/Llama-3.1-8B - ## Introduction This model was prepared using the AMD Quark Quantization tool, followed by necessary post-processing. - ## Quantization Strategy - AWQ / Group 128 / Asymmetric / UINT4 Weights / BFP16 activations - Excluded Layers: None - ## Quick Start For quickstart, refer to Ryzen AI doucmentation Evaluation scores The MMLU scores are astronomy: 71.71, philosophy: 70.1, and management: 82.52. License Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. "Agreement" means the terms and conditions for use, reproduction, distribution and modification of the Llama Materials set forth herein. "Documentation" means the specifications, manuals and documentation accompanying Llama 3.1 distributed by Meta at https://llama.meta.com/doc/overview. "Licensee" or "you" means you, or your employer or any other person or entity (if you are entering into this Agreement on such person or entity’s behalf), of the age required under applicable laws, rules or regulations to provide legal consent and that has legal authority to bind your employer or such other person or entity if you are entering in this Agreement on their behalf. "Llama 3.1" means the foundational large language models and software and algorithms, including machine-learning model code, trained model weights, inference-enabling code, training-enabling code, fine-tuning enabling code and other elements of the foregoing distributed by Meta at https://llama.meta.com/llama-downloads. "Llama Materials" means, collectively, Meta’s proprietary Llama 3.1 and Documentation (and any portion thereof) made available under this Agreement. "Meta" or "we" means Meta Platforms Ireland Limited (if you are located in or, if you are an entity, your principal place of business is in the EEA or Switzerland) and Meta Platforms, Inc. (if you are located outside of the EEA or Switzerland). 1. License Rights and Redistribution. a. Grant of Rights. 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Qwen/Qwen2.5-7B-Instruct - ## Introduction This model was prepared using the AMD Quark Quantization tool, followed by necessary post-processing. - ## Quantization Strategy - AWQ / Group 128 / Asymmetric / UINT4 Weights / BFP16 activations - Excluded Layers: None - ## Quick Start For quickstart, refer to Ryzen AI doucmentation Evaluation scores The MMLU scores are, astronomy: 83.55, philosophy: 74.92, and management: 84.47. Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. By clicking to agree or by using or distributing any portion or element of the Tongyi Qianwen Materials, you will be deemed to have recognized and accepted the content of this Agreement, which is effective immediately. 1. Definitions a. This Tongyi Qianwen LICENSE AGREEMENT (this "Agreement") shall mean the terms and conditions for use, reproduction, distribution and modification of the Materials as defined by this Agreement. b. "We"(or "Us") shall mean Alibaba Cloud. c. "You" (or "Your") shall mean a natural person or legal entity exercising the rights granted by this Agreement and/or using the Materials for any purpose and in any field of use. d. "Third Parties" shall mean individuals or legal entities that are not under common control with Us or You. e. "Tongyi Qianwen" shall mean the large language models (including Qwen model and Qwen-Chat model), and software and algorithms, consisting of trained model weights, parameters (including optimizer states), machine-learning model code, inference-enabling code, training-enabling code, fine-tuning enabling code and other elements of the foregoing distributed by Us. f. "Materials" shall mean, collectively, Alibaba Cloud's proprietary Tongyi Qianwen and Documentation (and any portion thereof) made available under this Agreement. g. "Source" form shall mean the preferred form for making modifications, including but not limited to model source code, documentation source, and configuration files. h. "Object" form shall mean any form resulting from mechanical transformation or translation of a Source form, including but not limited to compiled object code, generated documentation, and conversions to other media types. 2. Grant of Rights You are granted a non-exclusive, worldwide, non-transferable and royalty-free limited license under Alibaba Cloud's intellectual property or other rights owned by Us embodied in the Materials to use, reproduce, distribute, copy, create derivative works of, and make modifications to the Materials. 3. Redistribution You may reproduce and distribute copies of the Materials or derivative works thereof in any medium, with or without modifications, and in Source or Object form, provided that You meet the following conditions: a. You shall give any other recipients of the Materials or derivative works a copy of this Agreement; b. You shall cause any modified files to carry prominent notices stating that You changed the files; c. 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The Materials may be subject to export controls or restrictions in China, the United States or other countries or regions. You shall comply with applicable laws and regulations in your use of the Materials. b. You can not use the Materials or any output therefrom to improve any other large language model (excluding Tongyi Qianwen or derivative works thereof). 6. Intellectual Property a. We retain ownership of all intellectual property rights in and to the Materials and derivatives made by or for Us. Conditioned upon compliance with the terms and conditions of this Agreement, with respect to any derivative works and modifications of the Materials that are made by you, you are and will be the owner of such derivative works and modifications. b. 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We may terminate this Agreement if you breach any of the terms or conditions of this Agreement. Upon termination of this Agreement, you must delete and cease use of the Materials. Sections 7 and 9 shall survive the termination of this Agreement. 9. Governing Law and Jurisdiction. a. This Agreement and any dispute arising out of or relating to it will be governed by the laws of China, without regard to conflict of law principles, and the UN Convention on Contracts for the International Sale of Goods does not apply to this Agreement. b. The People's Courts in Hangzhou City shall have exclusive jurisdiction over any dispute arising out of this Agreement.

amd/Qwen3-4B-hybrid - ## Introduction This model was prepared using the AMD Quark Quantization tool, followed by necessary post-processing. - ## Quantization Strategy - AWQ / Group 128 / Asymmetric / UINT4 Weights / BFP16 activations - Excluded Layers: None - ## Quick Start For quickstart, refer to Ryzen AI doucmentation Evaluation scores The MMLU scores are, astronomy: 78.29, philosophy: 72.67, and management: 86.41. Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. By clicking to agree or by using or distributing any portion or element of the Tongyi Qianwen Materials, you will be deemed to have recognized and accepted the content of this Agreement, which is effective immediately. 1. Definitions a. This Tongyi Qianwen LICENSE AGREEMENT (this "Agreement") shall mean the terms and conditions for use, reproduction, distribution and modification of the Materials as defined by this Agreement. b. "We"(or "Us") shall mean Alibaba Cloud. c. "You" (or "Your") shall mean a natural person or legal entity exercising the rights granted by this Agreement and/or using the Materials for any purpose and in any field of use. d. "Third Parties" shall mean individuals or legal entities that are not under common control with Us or You. e. "Tongyi Qianwen" shall mean the large language models (including Qwen model and Qwen-Chat model), and software and algorithms, consisting of trained model weights, parameters (including optimizer states), machine-learning model code, inference-enabling code, training-enabling code, fine-tuning enabling code and other elements of the foregoing distributed by Us. f. "Materials" shall mean, collectively, Alibaba Cloud's proprietary Tongyi Qianwen and Documentation (and any portion thereof) made available under this Agreement. g. "Source" form shall mean the preferred form for making modifications, including but not limited to model source code, documentation source, and configuration files. h. "Object" form shall mean any form resulting from mechanical transformation or translation of a Source form, including but not limited to compiled object code, generated documentation, and conversions to other media types. 2. Grant of Rights You are granted a non-exclusive, worldwide, non-transferable and royalty-free limited license under Alibaba Cloud's intellectual property or other rights owned by Us embodied in the Materials to use, reproduce, distribute, copy, create derivative works of, and make modifications to the Materials. 3. Redistribution You may reproduce and distribute copies of the Materials or derivative works thereof in any medium, with or without modifications, and in Source or Object form, provided that You meet the following conditions: a. You shall give any other recipients of the Materials or derivative works a copy of this Agreement; b. You shall cause any modified files to carry prominent notices stating that You changed the files; c. You shall retain in all copies of the Materials that You distribute the following attribution notices within a "Notice" text file distributed as a part of such copies: "Tongyi Qianwen is licensed under the Tongyi Qianwen LICENSE AGREEMENT, Copyright (c) Alibaba Cloud. All Rights Reserved."; and d. You may add Your own copyright statement to Your modifications and may provide additional or different license terms and conditions for use, reproduction, or distribution of Your modifications, or for any such derivative works as a whole, provided Your use, reproduction, and distribution of the work otherwise complies with the terms and conditions of this Agreement. 4. Restrictions If you are commercially using the Materials, and your product or service has more than 100 million monthly active users, You shall request a license from Us. You cannot exercise your rights under this Agreement without our express authorization. 5. Rules of use a. The Materials may be subject to export controls or restrictions in China, the United States or other countries or regions. You shall comply with applicable laws and regulations in your use of the Materials. b. You can not use the Materials or any output therefrom to improve any other large language model (excluding Tongyi Qianwen or derivative works thereof). 6. Intellectual Property a. We retain ownership of all intellectual property rights in and to the Materials and derivatives made by or for Us. Conditioned upon compliance with the terms and conditions of this Agreement, with respect to any derivative works and modifications of the Materials that are made by you, you are and will be the owner of such derivative works and modifications. b. No trademark license is granted to use the trade names, trademarks, service marks, or product names of Us, except as required to fulfill notice requirements under this Agreement or as required for reasonable and customary use in describing and redistributing the Materials. c. If you commence a lawsuit or other proceedings (including a cross-claim or counterclaim in a lawsuit) against Us or any entity alleging that the Materials or any output therefrom, or any part of the foregoing, infringe any intellectual property or other right owned or licensable by you, then all licences granted to you under this Agreement shall terminate as of the date such lawsuit or other proceeding is commenced or brought. 7. Disclaimer of Warranty and Limitation of Liability a. We are not obligated to support, update, provide training for, or develop any further version of the Tongyi Qianwen Materials or to grant any license thereto. b. THE MATERIALS ARE PROVIDED "AS IS" WITHOUT ANY EXPRESS OR IMPLIED WARRANTY OF ANY KIND INCLUDING WARRANTIES OF MERCHANTABILITY, NONINFRINGEMENT, OR FITNESS FOR A PARTICULAR PURPOSE. WE MAKE NO WARRANTY AND ASSUME NO RESPONSIBILITY FOR THE SAFETY OR STABILITY OF THE MATERIALS AND ANY OUTPUT THEREFROM. c. IN NO EVENT SHALL WE BE LIABLE TO YOU FOR ANY DAMAGES, INCLUDING, BUT NOT LIMITED TO ANY DIRECT, OR INDIRECT, SPECIAL OR CONSEQUENTIAL DAMAGES ARISING FROM YOUR USE OR INABILITY TO USE THE MATERIALS OR ANY OUTPUT OF IT, NO MATTER HOW IT’S CAUSED. d. You will defend, indemnify and hold harmless Us from and against any claim by any third party arising out of or related to your use or distribution of the Materials. 8. Survival and Termination. a. The term of this Agreement shall commence upon your acceptance of this Agreement or access to the Materials and will continue in full force and effect until terminated in accordance with the terms and conditions herein. b. We may terminate this Agreement if you breach any of the terms or conditions of this Agreement. Upon termination of this Agreement, you must delete and cease use of the Materials. Sections 7 and 9 shall survive the termination of this Agreement. 9. Governing Law and Jurisdiction. a. This Agreement and any dispute arising out of or relating to it will be governed by the laws of China, without regard to conflict of law principles, and the UN Convention on Contracts for the International Sale of Goods does not apply to this Agreement. b. The People's Courts in Hangzhou City shall have exclusive jurisdiction over any dispute arising out of this Agreement.

Mistral-7B-Instruct-v0.3-onnx-ryzenai-npu - ## Introduction This model was created using Quark Quantization, followed by OGA Model Builder, and finalized with post-processing for NPU deployment. - ## Quantization Strategy - AWQ / Group 128 / Asymmetric / BFP16 activations / UINT4 Weights - ## Quick Start For quickstart, refer to Ryzen AI documentation Evaluation scores - The perplexity measurement is run on the wikitext-2-raw-v1 (raw data) dataset provided by Hugging Face. Perplexity score measured for prompt length 2k is 5.64895. - The average MMLU scores are astronomy - 66.45, philosophy - 67.2 and management - 79.61. License Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

Qwen2-7B-onnx-ryzenai-npu - ## Introduction This model was created using Quark Quantization, followed by OGA Model Builder, and finalized with post-processing for NPU deployment. - ## Quantization Strategy - AWQ / Group 128 / Asymmetric / BFP16 activations / UINT4 Weights - ## Quick Start For quickstart, refer to Ryzen AI documentation Evaluation scores - The perplexity measurement is run on the wikitext-2-raw-v1 (raw data) dataset provided by Hugging Face. Perplexity score measured for prompt length 2k is 8.69451. - The average MMLU scores are astronomy - 69.74, philosophy - 71.38 and management - 83.5. Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. By clicking to agree or by using or distributing any portion or element of the Tongyi Qianwen Materials, you will be deemed to have recognized and accepted the content of this Agreement, which is effective immediately. 1. Definitions a. This Tongyi Qianwen LICENSE AGREEMENT (this "Agreement") shall mean the terms and conditions for use, reproduction, distribution and modification of the Materials as defined by this Agreement. b. "We"(or "Us") shall mean Alibaba Cloud. c. "You" (or "Your") shall mean a natural person or legal entity exercising the rights granted by this Agreement and/or using the Materials for any purpose and in any field of use. d. "Third Parties" shall mean individuals or legal entities that are not under common control with Us or You. e. "Tongyi Qianwen" shall mean the large language models (including Qwen model and Qwen-Chat model), and software and algorithms, consisting of trained model weights, parameters (including optimizer states), machine-learning model code, inference-enabling code, training-enabling code, fine-tuning enabling code and other elements of the foregoing distributed by Us. f. "Materials" shall mean, collectively, Alibaba Cloud's proprietary Tongyi Qianwen and Documentation (and any portion thereof) made available under this Agreement. g. "Source" form shall mean the preferred form for making modifications, including but not limited to model source code, documentation source, and configuration files. h. "Object" form shall mean any form resulting from mechanical transformation or translation of a Source form, including but not limited to compiled object code, generated documentation, and conversions to other media types. 2. Grant of Rights You are granted a non-exclusive, worldwide, non-transferable and royalty-free limited license under Alibaba Cloud's intellectual property or other rights owned by Us embodied in the Materials to use, reproduce, distribute, copy, create derivative works of, and make modifications to the Materials. 3. Redistribution You may reproduce and distribute copies of the Materials or derivative works thereof in any medium, with or without modifications, and in Source or Object form, provided that You meet the following conditions: a. You shall give any other recipients of the Materials or derivative works a copy of this Agreement; b. You shall cause any modified files to carry prominent notices stating that You changed the files; c. You shall retain in all copies of the Materials that You distribute the following attribution notices within a "Notice" text file distributed as a part of such copies: "Tongyi Qianwen is licensed under the Tongyi Qianwen LICENSE AGREEMENT, Copyright (c) Alibaba Cloud. All Rights Reserved."; and d. You may add Your own copyright statement to Your modifications and may provide additional or different license terms and conditions for use, reproduction, or distribution of Your modifications, or for any such derivative works as a whole, provided Your use, reproduction, and distribution of the work otherwise complies with the terms and conditions of this Agreement. 4. Restrictions If you are commercially using the Materials, and your product or service has more than 100 million monthly active users, You shall request a license from Us. You cannot exercise your rights under this Agreement without our express authorization. 5. Rules of use a. The Materials may be subject to export controls or restrictions in China, the United States or other countries or regions. You shall comply with applicable laws and regulations in your use of the Materials. b. You can not use the Materials or any output therefrom to improve any other large language model (excluding Tongyi Qianwen or derivative works thereof). 6. Intellectual Property a. We retain ownership of all intellectual property rights in and to the Materials and derivatives made by or for Us. Conditioned upon compliance with the terms and conditions of this Agreement, with respect to any derivative works and modifications of the Materials that are made by you, you are and will be the owner of such derivative works and modifications. b. No trademark license is granted to use the trade names, trademarks, service marks, or product names of Us, except as required to fulfill notice requirements under this Agreement or as required for reasonable and customary use in describing and redistributing the Materials. c. If you commence a lawsuit or other proceedings (including a cross-claim or counterclaim in a lawsuit) against Us or any entity alleging that the Materials or any output therefrom, or any part of the foregoing, infringe any intellectual property or other right owned or licensable by you, then all licences granted to you under this Agreement shall terminate as of the date such lawsuit or other proceeding is commenced or brought. 7. Disclaimer of Warranty and Limitation of Liability a. We are not obligated to support, update, provide training for, or develop any further version of the Tongyi Qianwen Materials or to grant any license thereto. b. THE MATERIALS ARE PROVIDED "AS IS" WITHOUT ANY EXPRESS OR IMPLIED WARRANTY OF ANY KIND INCLUDING WARRANTIES OF MERCHANTABILITY, NONINFRINGEMENT, OR FITNESS FOR A PARTICULAR PURPOSE. WE MAKE NO WARRANTY AND ASSUME NO RESPONSIBILITY FOR THE SAFETY OR STABILITY OF THE MATERIALS AND ANY OUTPUT THEREFROM. c. IN NO EVENT SHALL WE BE LIABLE TO YOU FOR ANY DAMAGES, INCLUDING, BUT NOT LIMITED TO ANY DIRECT, OR INDIRECT, SPECIAL OR CONSEQUENTIAL DAMAGES ARISING FROM YOUR USE OR INABILITY TO USE THE MATERIALS OR ANY OUTPUT OF IT, NO MATTER HOW IT’S CAUSED. d. You will defend, indemnify and hold harmless Us from and against any claim by any third party arising out of or related to your use or distribution of the Materials. 8. Survival and Termination. a. The term of this Agreement shall commence upon your acceptance of this Agreement or access to the Materials and will continue in full force and effect until terminated in accordance with the terms and conditions herein. b. We may terminate this Agreement if you breach any of the terms or conditions of this Agreement. Upon termination of this Agreement, you must delete and cease use of the Materials. Sections 7 and 9 shall survive the termination of this Agreement. 9. Governing Law and Jurisdiction. a. This Agreement and any dispute arising out of or relating to it will be governed by the laws of China, without regard to conflict of law principles, and the UN Convention on Contracts for the International Sale of Goods does not apply to this Agreement. b. The People's Courts in Hangzhou City shall have exclusive jurisdiction over any dispute arising out of this Agreement.

amd/Mistral-7B-Instruct-v0.3-hybrid - ## Introduction This model was prepared using the AMD Quark Quantization tool, followed by necessary post-processing. - ## Quantization Strategy - AWQ / Group 128 / Asymmetric / UINT4 Weights / BFP16 activations - Excluded Layers: None - - ## Quick Start For quickstart, refer to Ryzen AI doucmentation Evaluation scores The MMLU scores are astronomy: 66.45, philosophy: 67.2, and management: 79.61. License Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

microsoft/Phi-3-mini-4k-instruct - ## Introduction This model was prepared using the AMD Quark Quantization tool, followed by necessary post-processing. - ## Quantization Strategy - AWQ / Group 128 / Asymmetric / UINT4 Weights / BFP16 activations - Excluded Layers: None - ## Quick Start For quickstart, refer to Ryzen AI doucmentation Evaluation scores The MMLU scores are, astronomy: 76.32, philosophy: 72.67, and management: 86.41. Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

This model was created by applying Quark with calibration samples from Pile dataset. - Quantized Layers: All linear layers excluding "lmhead" - Weight: Auto Mixed Precision quantized by Quark, each weight has either quantization scheme in candidates of - FP8 symmetric per-tensor - OCP Microscaling (MX) FP4 - Activation: Auto Mixed Precision quantized by Quark, each activation input has the same quantization scheme with weight, i.e., in candidates of - FP8 symmetric per-tensor - OCP Microscaling (MX) FP4 - KV Cache: FP8 symmetric per-tensor 1. Download and install Quark 2. [TODO] We will provide example script(s) to run auto mixed precision (AMP) quantizations later. The Quark quantized Auto Mixed Precision (AMP) models are now supported to be easily deployed in vLLM backend (vLLM-compatible). The quantization evaluation results are conducted in pseudo-quantization mode, which may slightly differ from the actual quantized inference accuracy. These results are provided for reference only. | Quant scheme | arc challenge (↑) (acc) | | gsm8k (↑) (strict-match) | | mmlu (↑) (acc) | | winogrande (↑) (acc) | | |--------------|-----------------------------|-------|-----------------------------|-------|-------------------|-------|--------------------------|-------| | | absolute value | recovery rate | absolute value | recovery rate | absolute value | recovery rate | absolute value | recovery rate | | BF16 | 0.5597 | 100.0% | 0.8552 | 100.0% | 0.7296 | 100.0% | 0.6780 | 100.0% | | FP8 | 0.5563 | 99.4% | 0.8461 | 98.9% | 0.7282 | 99.8% | 0.6654 | 98.1% | | AMP | 0.5154 | 92.1% | 0.8446 | 98.8% | 0.7171 | 98.3% | 0.6559 | 96.7% | | MXFP4 | 0.4863 | 86.9% | 0.8112 | 94.9% | 0.6883 | 94.3% | 0.6504 | 95.9% | Modifications Copyright(c) 2025 Advanced Micro Devices,Inc. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

amd/Qwen-2.5-coder-7b-instruct-hybrid - ## Introduction This model was prepared using the AMD Quark Quantization tool, followed by necessary post-processing. - ## Quantization Strategy - AWQ / Group 128 / Asymmetric / UINT4 Weights / BFP16 activations - Excluded Layers: None - ## Quick Start For quickstart, refer to Ryzen AI doucmentation Evaluation scores The MMLU scores are, astronomy: 74.34, philosophy: 70.1 and management: 79.61. Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. By clicking to agree or by using or distributing any portion or element of the Tongyi Qianwen Materials, you will be deemed to have recognized and accepted the content of this Agreement, which is effective immediately. 1. Definitions a. This Tongyi Qianwen LICENSE AGREEMENT (this "Agreement") shall mean the terms and conditions for use, reproduction, distribution and modification of the Materials as defined by this Agreement. b. "We"(or "Us") shall mean Alibaba Cloud. c. "You" (or "Your") shall mean a natural person or legal entity exercising the rights granted by this Agreement and/or using the Materials for any purpose and in any field of use. d. "Third Parties" shall mean individuals or legal entities that are not under common control with Us or You. e. "Tongyi Qianwen" shall mean the large language models (including Qwen model and Qwen-Chat model), and software and algorithms, consisting of trained model weights, parameters (including optimizer states), machine-learning model code, inference-enabling code, training-enabling code, fine-tuning enabling code and other elements of the foregoing distributed by Us. f. "Materials" shall mean, collectively, Alibaba Cloud's proprietary Tongyi Qianwen and Documentation (and any portion thereof) made available under this Agreement. g. "Source" form shall mean the preferred form for making modifications, including but not limited to model source code, documentation source, and configuration files. h. "Object" form shall mean any form resulting from mechanical transformation or translation of a Source form, including but not limited to compiled object code, generated documentation, and conversions to other media types. 2. Grant of Rights You are granted a non-exclusive, worldwide, non-transferable and royalty-free limited license under Alibaba Cloud's intellectual property or other rights owned by Us embodied in the Materials to use, reproduce, distribute, copy, create derivative works of, and make modifications to the Materials. 3. Redistribution You may reproduce and distribute copies of the Materials or derivative works thereof in any medium, with or without modifications, and in Source or Object form, provided that You meet the following conditions: a. You shall give any other recipients of the Materials or derivative works a copy of this Agreement; b. You shall cause any modified files to carry prominent notices stating that You changed the files; c. You shall retain in all copies of the Materials that You distribute the following attribution notices within a "Notice" text file distributed as a part of such copies: "Tongyi Qianwen is licensed under the Tongyi Qianwen LICENSE AGREEMENT, Copyright (c) Alibaba Cloud. All Rights Reserved."; and d. You may add Your own copyright statement to Your modifications and may provide additional or different license terms and conditions for use, reproduction, or distribution of Your modifications, or for any such derivative works as a whole, provided Your use, reproduction, and distribution of the work otherwise complies with the terms and conditions of this Agreement. 4. Restrictions If you are commercially using the Materials, and your product or service has more than 100 million monthly active users, You shall request a license from Us. You cannot exercise your rights under this Agreement without our express authorization. 5. Rules of use a. The Materials may be subject to export controls or restrictions in China, the United States or other countries or regions. You shall comply with applicable laws and regulations in your use of the Materials. b. You can not use the Materials or any output therefrom to improve any other large language model (excluding Tongyi Qianwen or derivative works thereof). 6. Intellectual Property a. We retain ownership of all intellectual property rights in and to the Materials and derivatives made by or for Us. Conditioned upon compliance with the terms and conditions of this Agreement, with respect to any derivative works and modifications of the Materials that are made by you, you are and will be the owner of such derivative works and modifications. b. No trademark license is granted to use the trade names, trademarks, service marks, or product names of Us, except as required to fulfill notice requirements under this Agreement or as required for reasonable and customary use in describing and redistributing the Materials. c. If you commence a lawsuit or other proceedings (including a cross-claim or counterclaim in a lawsuit) against Us or any entity alleging that the Materials or any output therefrom, or any part of the foregoing, infringe any intellectual property or other right owned or licensable by you, then all licences granted to you under this Agreement shall terminate as of the date such lawsuit or other proceeding is commenced or brought. 7. Disclaimer of Warranty and Limitation of Liability a. We are not obligated to support, update, provide training for, or develop any further version of the Tongyi Qianwen Materials or to grant any license thereto. b. THE MATERIALS ARE PROVIDED "AS IS" WITHOUT ANY EXPRESS OR IMPLIED WARRANTY OF ANY KIND INCLUDING WARRANTIES OF MERCHANTABILITY, NONINFRINGEMENT, OR FITNESS FOR A PARTICULAR PURPOSE. WE MAKE NO WARRANTY AND ASSUME NO RESPONSIBILITY FOR THE SAFETY OR STABILITY OF THE MATERIALS AND ANY OUTPUT THEREFROM. c. IN NO EVENT SHALL WE BE LIABLE TO YOU FOR ANY DAMAGES, INCLUDING, BUT NOT LIMITED TO ANY DIRECT, OR INDIRECT, SPECIAL OR CONSEQUENTIAL DAMAGES ARISING FROM YOUR USE OR INABILITY TO USE THE MATERIALS OR ANY OUTPUT OF IT, NO MATTER HOW IT’S CAUSED. d. You will defend, indemnify and hold harmless Us from and against any claim by any third party arising out of or related to your use or distribution of the Materials. 8. Survival and Termination. a. The term of this Agreement shall commence upon your acceptance of this Agreement or access to the Materials and will continue in full force and effect until terminated in accordance with the terms and conditions herein. b. We may terminate this Agreement if you breach any of the terms or conditions of this Agreement. Upon termination of this Agreement, you must delete and cease use of the Materials. Sections 7 and 9 shall survive the termination of this Agreement. 9. Governing Law and Jurisdiction. a. This Agreement and any dispute arising out of or relating to it will be governed by the laws of China, without regard to conflict of law principles, and the UN Convention on Contracts for the International Sale of Goods does not apply to this Agreement. b. The People's Courts in Hangzhou City shall have exclusive jurisdiction over any dispute arising out of this Agreement.

Qwen2.5-Coder-7B-Instruct-onnx-ryzenai-npu - ## Introduction This model was created using Quark Quantization, followed by OGA Model Builder, and finalized with post-processing for NPU deployment. - ## Quantization Strategy - AWQ / Group 128 / Asymmetric / BFP16 activations / UINT4 Weights - ## Quick Start For quickstart, refer to Ryzen AI documentation Evaluation scores - The perplexity measurement is run on the wikitext-2-raw-v1 (raw data) dataset provided by Hugging Face. Perplexity score measured for prompt length 2k is 9.9954. - The average MMLU scores are astronomy - 74.34, philosophy - 70.1 and management - 79.61. Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. By clicking to agree or by using or distributing any portion or element of the Tongyi Qianwen Materials, you will be deemed to have recognized and accepted the content of this Agreement, which is effective immediately. 1. Definitions a. This Tongyi Qianwen LICENSE AGREEMENT (this "Agreement") shall mean the terms and conditions for use, reproduction, distribution and modification of the Materials as defined by this Agreement. b. "We"(or "Us") shall mean Alibaba Cloud. c. "You" (or "Your") shall mean a natural person or legal entity exercising the rights granted by this Agreement and/or using the Materials for any purpose and in any field of use. d. "Third Parties" shall mean individuals or legal entities that are not under common control with Us or You. e. "Tongyi Qianwen" shall mean the large language models (including Qwen model and Qwen-Chat model), and software and algorithms, consisting of trained model weights, parameters (including optimizer states), machine-learning model code, inference-enabling code, training-enabling code, fine-tuning enabling code and other elements of the foregoing distributed by Us. f. "Materials" shall mean, collectively, Alibaba Cloud's proprietary Tongyi Qianwen and Documentation (and any portion thereof) made available under this Agreement. g. "Source" form shall mean the preferred form for making modifications, including but not limited to model source code, documentation source, and configuration files. h. "Object" form shall mean any form resulting from mechanical transformation or translation of a Source form, including but not limited to compiled object code, generated documentation, and conversions to other media types. 2. Grant of Rights You are granted a non-exclusive, worldwide, non-transferable and royalty-free limited license under Alibaba Cloud's intellectual property or other rights owned by Us embodied in the Materials to use, reproduce, distribute, copy, create derivative works of, and make modifications to the Materials. 3. Redistribution You may reproduce and distribute copies of the Materials or derivative works thereof in any medium, with or without modifications, and in Source or Object form, provided that You meet the following conditions: a. You shall give any other recipients of the Materials or derivative works a copy of this Agreement; b. You shall cause any modified files to carry prominent notices stating that You changed the files; c. 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amd/Qwen2.5-3B-instruct-hybrid - ## Introduction This model was prepared using the AMD Quark Quantization tool, followed by necessary post-processing. - ## Quantization Strategy - AWQ / Group 128 / Asymmetric / UINT4 Weights / BFP16 activations - Excluded Layers: None - ## Quick Start For quickstart, refer to Ryzen AI doucmentation Evaluation scores The MMLU scores are, astronomy: 71.05, philosophy: 72.03, and management: 74.76. Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. By clicking to agree or by using or distributing any portion or element of the Tongyi Qianwen Materials, you will be deemed to have recognized and accepted the content of this Agreement, which is effective immediately. 1. Definitions a. This Tongyi Qianwen LICENSE AGREEMENT (this "Agreement") shall mean the terms and conditions for use, reproduction, distribution and modification of the Materials as defined by this Agreement. b. "We"(or "Us") shall mean Alibaba Cloud. c. "You" (or "Your") shall mean a natural person or legal entity exercising the rights granted by this Agreement and/or using the Materials for any purpose and in any field of use. d. "Third Parties" shall mean individuals or legal entities that are not under common control with Us or You. e. "Tongyi Qianwen" shall mean the large language models (including Qwen model and Qwen-Chat model), and software and algorithms, consisting of trained model weights, parameters (including optimizer states), machine-learning model code, inference-enabling code, training-enabling code, fine-tuning enabling code and other elements of the foregoing distributed by Us. f. "Materials" shall mean, collectively, Alibaba Cloud's proprietary Tongyi Qianwen and Documentation (and any portion thereof) made available under this Agreement. g. "Source" form shall mean the preferred form for making modifications, including but not limited to model source code, documentation source, and configuration files. h. "Object" form shall mean any form resulting from mechanical transformation or translation of a Source form, including but not limited to compiled object code, generated documentation, and conversions to other media types. 2. Grant of Rights You are granted a non-exclusive, worldwide, non-transferable and royalty-free limited license under Alibaba Cloud's intellectual property or other rights owned by Us embodied in the Materials to use, reproduce, distribute, copy, create derivative works of, and make modifications to the Materials. 3. Redistribution You may reproduce and distribute copies of the Materials or derivative works thereof in any medium, with or without modifications, and in Source or Object form, provided that You meet the following conditions: a. You shall give any other recipients of the Materials or derivative works a copy of this Agreement; b. You shall cause any modified files to carry prominent notices stating that You changed the files; c. You shall retain in all copies of the Materials that You distribute the following attribution notices within a "Notice" text file distributed as a part of such copies: "Tongyi Qianwen is licensed under the Tongyi Qianwen LICENSE AGREEMENT, Copyright (c) Alibaba Cloud. All Rights Reserved."; and d. You may add Your own copyright statement to Your modifications and may provide additional or different license terms and conditions for use, reproduction, or distribution of Your modifications, or for any such derivative works as a whole, provided Your use, reproduction, and distribution of the work otherwise complies with the terms and conditions of this Agreement. 4. Restrictions If you are commercially using the Materials, and your product or service has more than 100 million monthly active users, You shall request a license from Us. You cannot exercise your rights under this Agreement without our express authorization. 5. Rules of use a. The Materials may be subject to export controls or restrictions in China, the United States or other countries or regions. You shall comply with applicable laws and regulations in your use of the Materials. b. You can not use the Materials or any output therefrom to improve any other large language model (excluding Tongyi Qianwen or derivative works thereof). 6. Intellectual Property a. We retain ownership of all intellectual property rights in and to the Materials and derivatives made by or for Us. Conditioned upon compliance with the terms and conditions of this Agreement, with respect to any derivative works and modifications of the Materials that are made by you, you are and will be the owner of such derivative works and modifications. b. 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amd/Qwen3-8B-hybrid - ## Introduction This model was prepared using the AMD Quark Quantization tool, followed by necessary post-processing. - ## Quantization Strategy - AWQ / Group 128 / Asymmetric / UINT4 Weights / BFP16 activations - Excluded Layers: None - ## Quick Start For quickstart, refer to Ryzen AI doucmentation Evaluation scores The MMLU scores are, astronomy: 90.79, philosophy: 76.21, and management: 87.38. Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. By clicking to agree or by using or distributing any portion or element of the Tongyi Qianwen Materials, you will be deemed to have recognized and accepted the content of this Agreement, which is effective immediately. 1. Definitions a. This Tongyi Qianwen LICENSE AGREEMENT (this "Agreement") shall mean the terms and conditions for use, reproduction, distribution and modification of the Materials as defined by this Agreement. b. "We"(or "Us") shall mean Alibaba Cloud. c. "You" (or "Your") shall mean a natural person or legal entity exercising the rights granted by this Agreement and/or using the Materials for any purpose and in any field of use. d. "Third Parties" shall mean individuals or legal entities that are not under common control with Us or You. e. "Tongyi Qianwen" shall mean the large language models (including Qwen model and Qwen-Chat model), and software and algorithms, consisting of trained model weights, parameters (including optimizer states), machine-learning model code, inference-enabling code, training-enabling code, fine-tuning enabling code and other elements of the foregoing distributed by Us. f. "Materials" shall mean, collectively, Alibaba Cloud's proprietary Tongyi Qianwen and Documentation (and any portion thereof) made available under this Agreement. g. "Source" form shall mean the preferred form for making modifications, including but not limited to model source code, documentation source, and configuration files. h. "Object" form shall mean any form resulting from mechanical transformation or translation of a Source form, including but not limited to compiled object code, generated documentation, and conversions to other media types. 2. Grant of Rights You are granted a non-exclusive, worldwide, non-transferable and royalty-free limited license under Alibaba Cloud's intellectual property or other rights owned by Us embodied in the Materials to use, reproduce, distribute, copy, create derivative works of, and make modifications to the Materials. 3. Redistribution You may reproduce and distribute copies of the Materials or derivative works thereof in any medium, with or without modifications, and in Source or Object form, provided that You meet the following conditions: a. You shall give any other recipients of the Materials or derivative works a copy of this Agreement; b. You shall cause any modified files to carry prominent notices stating that You changed the files; c. You shall retain in all copies of the Materials that You distribute the following attribution notices within a "Notice" text file distributed as a part of such copies: "Tongyi Qianwen is licensed under the Tongyi Qianwen LICENSE AGREEMENT, Copyright (c) Alibaba Cloud. All Rights Reserved."; and d. You may add Your own copyright statement to Your modifications and may provide additional or different license terms and conditions for use, reproduction, or distribution of Your modifications, or for any such derivative works as a whole, provided Your use, reproduction, and distribution of the work otherwise complies with the terms and conditions of this Agreement. 4. Restrictions If you are commercially using the Materials, and your product or service has more than 100 million monthly active users, You shall request a license from Us. You cannot exercise your rights under this Agreement without our express authorization. 5. Rules of use a. The Materials may be subject to export controls or restrictions in China, the United States or other countries or regions. You shall comply with applicable laws and regulations in your use of the Materials. b. You can not use the Materials or any output therefrom to improve any other large language model (excluding Tongyi Qianwen or derivative works thereof). 6. Intellectual Property a. We retain ownership of all intellectual property rights in and to the Materials and derivatives made by or for Us. Conditioned upon compliance with the terms and conditions of this Agreement, with respect to any derivative works and modifications of the Materials that are made by you, you are and will be the owner of such derivative works and modifications. b. 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THE MATERIALS ARE PROVIDED "AS IS" WITHOUT ANY EXPRESS OR IMPLIED WARRANTY OF ANY KIND INCLUDING WARRANTIES OF MERCHANTABILITY, NONINFRINGEMENT, OR FITNESS FOR A PARTICULAR PURPOSE. WE MAKE NO WARRANTY AND ASSUME NO RESPONSIBILITY FOR THE SAFETY OR STABILITY OF THE MATERIALS AND ANY OUTPUT THEREFROM. c. IN NO EVENT SHALL WE BE LIABLE TO YOU FOR ANY DAMAGES, INCLUDING, BUT NOT LIMITED TO ANY DIRECT, OR INDIRECT, SPECIAL OR CONSEQUENTIAL DAMAGES ARISING FROM YOUR USE OR INABILITY TO USE THE MATERIALS OR ANY OUTPUT OF IT, NO MATTER HOW IT’S CAUSED. d. You will defend, indemnify and hold harmless Us from and against any claim by any third party arising out of or related to your use or distribution of the Materials. 8. Survival and Termination. a. The term of this Agreement shall commence upon your acceptance of this Agreement or access to the Materials and will continue in full force and effect until terminated in accordance with the terms and conditions herein. b. 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chatglm3-6b-onnx-ryzenai-npu - ## Introduction This model was created using Quark Quantization, followed by OGA Model Builder, and finalized with post-processing for NPU deployment. - ## Quantization Strategy - AWQ / Group 128 / Asymmetric / BFP16 activations / UINT4 Weights - ## Quick Start For quickstart, refer to Ryzen AI documentation Evaluation scores - The perplexity measurement is run on the wikitext-2-raw-v1 (raw data) dataset provided by Hugging Face. Perplexity score measured for prompt length 2k is 31.3967. - The average MMLU scores are astronomy - 21.05, philosophy - 20.06 and management - 22.33. License Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

Meta-Llama-3.1-8B-Instruct-onnx-ryzenai-npu - ## Introduction This model was created using Quark Quantization, followed by OGA Model Builder, and finalized with post-processing for NPU deployment. - ## Quantization Strategy - AWQ / Group 128 / Asymmetric / BFP16 activations / UINT4 Weights - ## Quick Start For quickstart, refer to Ryzen AI documentation Evaluation scores - The perplexity measurement is run on the wikitext-2-raw-v1 (raw data) dataset provided by Hugging Face. Perplexity score measured for prompt length 2k is 7.72355. - The average MMLU scores are astronomy - 71.71, philosophy - 70.1 and management - 82.52. License Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. 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Mistral-7B-Instruct-v0.2-onnx-ryzenai-npu - ## Introduction This model was created using Quark Quantization, followed by OGA Model Builder, and finalized with post-processing for NPU deployment. - ## Quantization Strategy - AWQ / Group 128 / Asymmetric / BFP16 activations / UINT4 Weights - ## Quick Start For quickstart, refer to Ryzen AI documentation Evaluation scores - The perplexity measurement is run on the wikitext-2-raw-v1 (raw data) dataset provided by Hugging Face. Perplexity score measured for prompt length 2k is 6.11683. - The average MMLU scores are astronomy - 58.55, philosophy - 67.2 and management - 71.84. License Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

Mistral-7B-Instruct-v0.1-onnx-ryzenai-npu - ## Introduction This model was created using Quark Quantization, followed by OGA Model Builder, and finalized with post-processing for NPU deployment. - ## Quantization Strategy - AWQ / Group 128 / Asymmetric / BFP16 activations / UINT4 Weights - ## Quick Start For quickstart, refer to Ryzen AI documentation Evaluation scores - The perplexity measurement is run on the wikitext-2-raw-v1 (raw data) dataset provided by Hugging Face. Perplexity score measured for prompt length 2k is 6.97244. - The average MMLU scores are astronomy - 52.63, philosophy - 63.02 and management - 69.9. License Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

amd/AMD-OLMo-1B-SFT-DPO-hybrid - ## Introduction This model was prepared using the AMD Quark Quantization tool, followed by necessary post-processing. - ## Quantization Strategy - AWQ / Group 128 / Asymmetric / UINT4 Weights / BFP16 activations - Excluded Layers: None - - ## Quick Start For quickstart, refer to Ryzen AI doucmentation Evaluation scores The average MMLU scores are astronomy: 29.61, philosophy: 25.4 and management: 40.78. License Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.-1b-sft-dpo

DeepSeek-R1-Distill-Qwen-7B-onnx-ryzenai-npu - ## Introduction This model was created using Quark Quantization, followed by OGA Model Builder, and finalized with post-processing for NPU deployment. - ## Quantization Strategy - AWQ / Group 128 / Asymmetric / BFP16 activations / UINT4 Weights - ## Quick Start For quickstart, refer to Ryzen AI documentation Evaluation scores - The perplexity measurement is run on the wikitext-2-raw-v1 (raw data) dataset provided by Hugging Face. Perplexity score measured for prompt length 2k is 30.7507. - The average MMLU scores are astronomy - 58.55, philosophy - 50.16 and management - 46.6. License Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

Qwen2.5-Coder-1.5B-Instruct-onnx-ryzenai-npu - ## Introduction This model was created using Quark Quantization, followed by OGA Model Builder, and finalized with post-processing for NPU deployment. - ## Quantization Strategy - AWQ / Group 128 / Asymmetric / BFP16 activations / UINT4 Weights - ## Quick Start For quickstart, refer to Ryzen AI documentation Evaluation scores - The perplexity measurement is run on the wikitext-2-raw-v1 (raw data) dataset provided by Hugging Face. Perplexity score measured for prompt length 2k is 14.6346. - The average MMLU scores are astronomy - 42.76, philosophy - 50.8 and management - 63.11. Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. By clicking to agree or by using or distributing any portion or element of the Tongyi Qianwen Materials, you will be deemed to have recognized and accepted the content of this Agreement, which is effective immediately. 1. Definitions a. This Tongyi Qianwen LICENSE AGREEMENT (this "Agreement") shall mean the terms and conditions for use, reproduction, distribution and modification of the Materials as defined by this Agreement. b. "We"(or "Us") shall mean Alibaba Cloud. c. "You" (or "Your") shall mean a natural person or legal entity exercising the rights granted by this Agreement and/or using the Materials for any purpose and in any field of use. d. "Third Parties" shall mean individuals or legal entities that are not under common control with Us or You. e. "Tongyi Qianwen" shall mean the large language models (including Qwen model and Qwen-Chat model), and software and algorithms, consisting of trained model weights, parameters (including optimizer states), machine-learning model code, inference-enabling code, training-enabling code, fine-tuning enabling code and other elements of the foregoing distributed by Us. f. "Materials" shall mean, collectively, Alibaba Cloud's proprietary Tongyi Qianwen and Documentation (and any portion thereof) made available under this Agreement. g. "Source" form shall mean the preferred form for making modifications, including but not limited to model source code, documentation source, and configuration files. h. 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Phi-3-mini-4k-instruct-onnx-ryzenai-npu - ## Introduction This model was created using Quark Quantization, followed by OGA Model Builder, and finalized with post-processing for NPU deployment. - ## Quantization Strategy - AWQ / Group 128 / Asymmetric / BFP16 activations / UINT4 Weights - ## Quick Start For quickstart, refer to Ryzen AI documentation Evaluation scores - The perplexity measurement is run on the wikitext-2-raw-v1 (raw data) dataset provided by Hugging Face. Perplexity score measured for prompt length 2k is 6.63387. - The average MMLU scores are astronomy - 76.32, philosophy - 72.67 and management - 85.44. License Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

Llama-2-7b-chat-hf-onnx-ryzenai-npu - ## Introduction This model was created using Quark Quantization, followed by OGA Model Builder, and finalized with post-processing for NPU deployment. - ## Quantization Strategy - AWQ / Group 128 / Asymmetric / BFP16 activations / UINT4 Weights - ## Quick Start For quickstart, refer to Ryzen AI documentation Evaluation scores - The perplexity measurement is run on the wikitext-2-raw-v1 (raw data) dataset provided by Hugging Face. Perplexity score measured for prompt length 2k is 7.274. - The average MMLU scores are astronomy - 40.13, philosophy - 49.52 and management - 59.22. License Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. 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Qwen2.5-1.5B-Instruct-onnx-ryzenai-npu - ## Introduction This model was created using Quark Quantization, followed by OGA Model Builder, and finalized with post-processing for NPU deployment. - ## Quantization Strategy - AWQ / Group 128 / Asymmetric / BFP16 activations / UINT4 Weights - ## Quick Start For quickstart, refer to Ryzen AI documentation Evaluation scores - The perplexity measurement is run on the wikitext-2-raw-v1 (raw data) dataset provided by Hugging Face. Perplexity score measured for prompt length 2k is 14.0496. - The average MMLU scores are astronomy - 65.79, philosophy - 63.02 and management - 82.52. Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. By clicking to agree or by using or distributing any portion or element of the Tongyi Qianwen Materials, you will be deemed to have recognized and accepted the content of this Agreement, which is effective immediately. 1. Definitions a. This Tongyi Qianwen LICENSE AGREEMENT (this "Agreement") shall mean the terms and conditions for use, reproduction, distribution and modification of the Materials as defined by this Agreement. b. "We"(or "Us") shall mean Alibaba Cloud. c. "You" (or "Your") shall mean a natural person or legal entity exercising the rights granted by this Agreement and/or using the Materials for any purpose and in any field of use. d. 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The Materials may be subject to export controls or restrictions in China, the United States or other countries or regions. You shall comply with applicable laws and regulations in your use of the Materials. b. You can not use the Materials or any output therefrom to improve any other large language model (excluding Tongyi Qianwen or derivative works thereof). 6. Intellectual Property a. We retain ownership of all intellectual property rights in and to the Materials and derivatives made by or for Us. Conditioned upon compliance with the terms and conditions of this Agreement, with respect to any derivative works and modifications of the Materials that are made by you, you are and will be the owner of such derivative works and modifications. b. 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We may terminate this Agreement if you breach any of the terms or conditions of this Agreement. Upon termination of this Agreement, you must delete and cease use of the Materials. Sections 7 and 9 shall survive the termination of this Agreement. 9. Governing Law and Jurisdiction. a. This Agreement and any dispute arising out of or relating to it will be governed by the laws of China, without regard to conflict of law principles, and the UN Convention on Contracts for the International Sale of Goods does not apply to this Agreement. b. The People's Courts in Hangzhou City shall have exclusive jurisdiction over any dispute arising out of this Agreement.

DeepSeek-R1-Distill-Qwen-1.5B-onnx-ryzenai-npu - ## Introduction This model was created using Quark Quantization, followed by OGA Model Builder, and finalized with post-processing for NPU deployment. - ## Quantization Strategy - AWQ / Group 128 / Asymmetric / BFP16 activations / UINT4 Weights - ## Quick Start For quickstart, refer to Ryzen AI documentation Evaluation scores - The perplexity measurement is run on the wikitext-2-raw-v1 (raw data) dataset provided by Hugging Face. Perplexity score measured for prompt length 2k is 64.3979. - The average MMLU scores are astronomy - 41.45, philosophy - 34.08 and management - 47.57. License Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

Qwen/Qwen2.5-1.5B-Instruct-hybrid - ## Introduction This model was prepared using the AMD Quark Quantization tool, followed by necessary post-processing. - ## Quantization Strategy - AWQ / Group 128 / Asymmetric / UINT4 Weights / BFP16 activations - Excluded Layers: None - ## Quick Start For quickstart, refer to Ryzen AI doucmentation Evaluation scores The MMLU scores are, astronomy: 65.79, philosophy: 63.02, and management: 82.52. Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. By clicking to agree or by using or distributing any portion or element of the Tongyi Qianwen Materials, you will be deemed to have recognized and accepted the content of this Agreement, which is effective immediately. 1. Definitions a. This Tongyi Qianwen LICENSE AGREEMENT (this "Agreement") shall mean the terms and conditions for use, reproduction, distribution and modification of the Materials as defined by this Agreement. b. "We"(or "Us") shall mean Alibaba Cloud. c. "You" (or "Your") shall mean a natural person or legal entity exercising the rights granted by this Agreement and/or using the Materials for any purpose and in any field of use. d. 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microsoft/Phi-4-mini-reasoning - ## Introduction This model was prepared using the AMD Quark Quantization tool, followed by necessary post-processing. - ## Quantization Strategy - GPTQ / Group size per layer lmhead 32 / Asymmetric / UINT4 Weights / BFP16 activations - Excluded Layers: None - ## Quick Start For quickstart, refer to Ryzen AI doucmentation Evaluation scores The MMLU scores are, astronomy: 54.61, philosophy: 60.13, and management: 78.64. Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

Qwen/Qwen2.5-0.5B-Instruct-hybrid - ## Introduction This model was prepared using the AMD Quark Quantization tool, followed by necessary post-processing. - ## Quantization Strategy - AWQ / Group 128 / Asymmetric / UINT4 Weights / BFP16 activations - Excluded Layers: None - ## Quick Start For quickstart, refer to Ryzen AI doucmentation Evaluation scores The MMLU scores are, astronomy: 17.76, philosophy: 18.65, and management: 17.48. Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. 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amd/Qwen2.5-coder-0.5B-instruct-hybrid - ## Introduction This model was prepared using the AMD Quark Quantization tool, followed by necessary post-processing. - ## Quantization Strategy - AWQ / Group 128 / Asymmetric / UINT4 Weights / BFP16 activations - Excluded Layers: None - ## Quick Start For quickstart, refer to Ryzen AI doucmentation Evaluation scores The MMLU scores are, astronomy: 17.76, philosophy: 18.65 and management: 17.48. Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. 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meta-llama/Llama-2-7b-chat-hf-onnx-ryzen-hybrid - ## Introduction This model was prepared using the AMD Quark Quantization tool, followed by necessary post-processing. - ## Quantization Strategy - AWQ / Group 128 / Asymmetric / UINT4 Weights / BFP16 activations - Excluded Layers: None - ## Quick Start For quickstart, refer to Ryzen AI doucmentation Evaluation scores The MMLU scores are astronomy: 44.74, philosophy: 49.84, and management: 59.22. License Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. Hugging Face's logo Hugging Face Search models, datasets, users... Models Datasets Spaces Posts Docs Enterprise Pricing Meta Llama 13.1k Text Generation Transformers PyTorch Safetensors English llama facebook meta llama-2 conversational text-generation-inference Inference Endpoints License: llama2 Model card Files and versions Llama-2-7b-chat-hf / LICENSE.txt osanseviero's picture osanseviero Squashing commit bd90846 over 1 year ago raw 7.02 kB LLAMA 2 COMMUNITY LICENSE AGREEMENT Llama 2 Version Release Date: July 18, 2023 "Agreement" means the terms and conditions for use, reproduction, distribution and modification of the Llama Materials set forth herein. 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chatglm3-6b - ## Introduction This model was created using Quark Quantization, followed by OGA Model Builder, and finalized with post-processing for NPU deployment. - ## Quantization Strategy - AWQ / Group 128 / Asymmetric / BF16 activations / UINT4 weights - ## Quick Start For quickstart, refer to Ryzen AI doucmentation Evaluation scores The perplexity measurement is run on the wikitext-2-raw-v1 (raw data) dataset provided by Hugging Face. Perplexity score measured for prompt length 2k is 29.81679. License Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

microsoft/Phi-3-mini-128k-instruct-hybrid - ## Introduction This model was prepared using the AMD Quark Quantization tool, followed by necessary post-processing. - ## Quantization Strategy - AWQ / Group 128 / Asymmetric / UINT4 Weights / BFP16 activations - Excluded Layers: None - ## Quick Start For quickstart, refer to Ryzen AI doucmentation Evaluation scores The MMLU scores are, astronomy: 75.66, philosophy: 70.42, management: 86.41. Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

amd/Qwen2-1.5B-onnx-hybrid - ## Introduction This model was prepared using the AMD Quark Quantization tool, followed by necessary post-processing. - ## Quantization Strategy - AWQ / Group 128 / Asymmetric / UINT4 Weights / BFP16 activations - Excluded Layers: None - - ## Quick Start For quickstart, refer to Ryzen AI doucmentation Evaluation scores The MMLU scores are, astronomy: 52.63, philosophy: 59.16, and management: 74.76. License Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

amd/Qwen2-7B-onnx-hybrid - ## Introduction This model was prepared using the AMD Quark Quantization tool, followed by necessary post-processing. - ## Quantization Strategy - AWQ / Group 128 / Asymmetric / UINT4 Weights / BFP16 activations - Excluded Layers: None - - ## Quick Start For quickstart, refer to Ryzen AI doucmentation Evaluation scores The MMLU scores are, astronomy: 69.74, philosophy: 71.38, and management: 83.5. License Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

chatglm3-6b - ## Introduction This model was created using Quark Quantization, followed by OGA Model Builder, and finalized with post-processing for NPU deployment. - ## Quantization Strategy - AWQ / Group 128 / Asymmetric / BFP16 activations / UINT4 weights - ## Quick Start For quickstart, refer to Ryzen AI doucmentation Evaluation scores The MMLU scores are, astronomy: 40.79, philosophy: 34.41, and management: 46.60. License Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

CodeLlama-7b-instruct-hf-onnx-ryzenai-npu - ## Introduction This model was created using Quark Quantization, followed by OGA Model Builder, and finalized with post-processing for NPU deployment. - ## Quantization Strategy - AWQ / Group 128 / Asymmetric / BFP16 activations / UINT4 Weights - ## Quick Start For quickstart, refer to Ryzen AI documentation Evaluation scores - The perplexity measurement is run on the wikitext-2-raw-v1 (raw data) dataset provided by Hugging Face. Perplexity score measured for prompt length 2k is 7.19085. - The average MMLU scores are astronomy - 41.45, philosophy - 46.95 and management - 61.17. License Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. 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Phi-3-mini-128k-instruct-onnx-ryzenai-npu - ## Introduction This model was created using Quark Quantization, followed by OGA Model Builder, and finalized with post-processing for NPU deployment. - ## Quantization Strategy - AWQ / Group 128 / Asymmetric / BFP16 activations / UINT4 Weights - ## Quick Start For quickstart, refer to Ryzen AI documentation Evaluation scores - The perplexity measurement is run on the wikitext-2-raw-v1 (raw data) dataset provided by Hugging Face. Perplexity score measured for prompt length 2k is 6.85687. - The average MMLU scores are astronomy - 75.66, philosophy - 70.42 and management - 86.41. License Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

Llama-2-7b-hf-onnx-ryzenai-npu - ## Introduction This model was created using Quark Quantization, followed by OGA Model Builder, and finalized with post-processing for NPU deployment. - ## Quantization Strategy - AWQ / Group 128 / Asymmetric / BFP16 activations / UINT4 Weights - ## Quick Start For quickstart, refer to Ryzen AI documentation Evaluation scores - The perplexity measurement is run on the wikitext-2-raw-v1 (raw data) dataset provided by Hugging Face. Perplexity score measured for prompt length 2k is 5.6616. - The average MMLU scores are astronomy - 44.08, philosophy - 57.23 and management - 61.17. License Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. 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Instella-Math✨: Fully Open Language Model with Reasoning Capability AMD is thrilled to introduce Instella-Math, a reasoning-focused language model that marks a major milestone for AMD: as far as we know, it's the first language model trained with long chain-of-thought reinforcement learning entirely on AMD GPUs. Starting from Instella-3B-Instruct, we extended the model’s capabilities through a multi-stage training pipeline—featuring two stages of supervised fine-tuning and three stages of reinforcement learning using the VERL framework —executed entirely on AMD Instinct™ MI300X GPUs. - Introducing Instella-Math — first reasoning-centric language model with 3 billion parameters from AMD, fully trained on 32 AMD Instinct MI300X GPUs. - Built on the AMD ROCm software stack, Instella-3B-Math leverages efficient distributed training techniques, including reinforcement learning across 4 MI300X nodes (8 GPUs each), demonstrating the scalability and performance of AMD hardware for cutting-edge AI workloads. - Instella-Math is an open language model whose architecture, training code, weights, and datasets are publicly available, allowing anyone to inspect, use, modify, or build upon the model. Instella-Math Derived from Instella-3B-Instruct with an identical architecture, Instella-3B-Math is optimized for logical reasoning, mathematical problem-solving, and chain-of-thought tasks. The training pipeline features two stages of supervised fine-tuning followed by three reinforcement learning stages using the GRPO algorithm, as shown in figure 1. We perform a two-stage supervised fine-tuning process to gradually enhance the reasoning capabilities of the Instella-3B-Instruct model. The first stage we use instruction tuning for mathematical coverage. The second stage enables the model to generate in-depth analyses and structured reasoning steps, which are crucial for tackling complex problems like Olympiad-level math questions. Stage 1: Instruction Tuning with OpenMathInstruct-2 for Mathematical Coverage In the first stage of SFT, we begin with instruction tuning, following instructions or prompts properly, especially in a question-answer or problem-solution format. Using the OpenMathInstruct-2 dataset, which consists of 14 million problem-solution pairs generated from the GSM8K and MATH training sets. The model is trained to follow mathematical prompts covering a diverse range of topics from arithmetic and algebra to probability and calculus. Stage 2: Deep Reasoning with Long-Context Training on AM-DeepSeek-R1-Distilled In the second SFT stage, we further improve the model’s reasoning capability by training on AM-DeepSeek-R1-Distilled-1.4M, which is a large-scale general reasoning task dataset with high-quality and challenging reasoning problems. In this stage, we increase the context length of the model from 4K to 32K to allow the model to learn from the long chain-of-thought responses distilled from large reasoning models such as DeepSeek-R1. Stage 1: GRPO with 8 Rollouts and 8K Output Contexts Training: In the first stage of reinforcement learning, we apply the Group Relative Policy Optimization (GRPO) algorithm to train the model on Big-Math-RL-Verified, a curated set of complex multi-step math problems. We generate 8 rollouts per prompt, each allowing up to 8K output tokens, to explore diverse reasoning trajectories. The model is trained for 1,200 GRPO steps, using ruled-based reward signals designed by Prime-RL that favor correctness of solutions in the desired format. Training is distributed over 16 MI300X GPUs across 2 nodes, with VERL and VLLM enabling stable and efficient rollout collection, reward evaluation, and policy updates. Stage 2: GRPO with Extended 16 Rollouts and 16K Output Contexts on DeepMath Training: To push the limits of long-form reasoning, we conduct a second GRPO stage on DeepMath using 16 rollouts per prompt with up to 16K output tokens. This stage is designed to maximize the model's capacity for deep mathematical reasoning, enabling it to solve problems that require extended derivations, multiple nested logical steps, or structured proof-like outputs. In this stage, training is distributed over 32 MI300X GPUs across 4 nodes, and the model is trained for 600 GRPO steps. Stage 3: GRPO with Extended 16 Rollouts and 16K Output Contexts on DeepScaleR Training: To further improve the performance on Olympiad-level math questions, we conduct a third GRPO stage on DeepScaleR, which contains original questions from real Olympiad math competitions like AIME (1984-2023) and AMC (prior to 2023). Same as Stage 2, Stage 3 training uses 16 rollouts per prompt with up to 16K output tokens. In this stage, training is distributed over 32 MI300X GPUs across 4 nodes, and the model is trained for 740 GRPO steps. Size MATH 500 GSM8K GPQA-D AIME 2024 AIME 2025 AMC Minerva OlympiadBench Average Qwen2.5-Math-1.5B 1.5B 57.81 66.31 15.40 7.71 3.96 35.77 15.72 25.98 28.58 DeepSeek-R1-Distill-Qwen-1.5B 1.5B 82.58 84.06 16.48 27.50 22.50 63.48 26.52 43.00 45.76 STILL-3-1.5B-preview 1.5B 84.59 86.57 19.48 30.63 25.21 66.72 28.58 45.29 48.38 DeepScaleR-1.5B-Preview 1.5B 87.43 87.34 16.45 40.63 30.83 73.19 30.06 49.89 51.98 SmolLM3-3B 3B 90.16 92.26 44.85 52.50 35.83 78.69 31.76 55.35 60.18 OLMo-2-1124-7B-Instruct 7B 32.5 80.86 11.14 1.25 0.21 12.27 10.30 8.48 19.63 Instella-Math SFT 3B 77.55 88.03 23.36 20.00 18.96 53.92 18.82 43.27 42.99 Instella-Math RL Stage 1 3B 82.16 90.90 34.15 27.92 22.50 58.81 25.05 49.23 48.84 Instella-Math RL Stage 2 3B 85.84 91.72 37.37 29.58 22.92 66.72 27.53 52.67 51.79 Instella-Math RL Stage 3 3B 86.49 92.48 37.63 35.63 27.71 69.73 27.67 53.11 53.80 Table 1: Instella-Math evaluation results ( Pass@1 ). DeepSeek-R1-Distill-Qwen-1.5B 22.92 10.06 18.19 3.49 13.67 DeepScaleR-1.5B-Preview 23.04 16.50 22.99 8.18 17.68 Instella-Math RL Stage 1 56.31 31.37 39.65 41.93 42.32 Instella-Math RL Stage 2 66.2 37.31 39.17 44.48 46.79 Instella-Math RL Stage 3 70.25 39.56 40.28 48.96 49.76 Table 2: Instella-Math evaluation results on TTT-Bench. Here, we report Pass@1 that is calculated based on 16 responses per question. - Following the same evaluation setting as DeepScaleR-1.5B, we report Pass@1 accuracy averaged over 16 responses. - Instella-Math delivers competitive performance when compared to leading small-scale open-weight models such as Deepseek-R1-Distilled-Qwen-1.5B, Still-3-1.5B, DeepScaleR-1.5B, and SmolLM3-3B. - Beyond achieving competitive average performance across all benchmarks, Instella-Math demonstrates the effectiveness of our RL training recipe—improving over its supervised finetuned variant (Instella-Math-SFT) by 10.81 points, compared to a 6.22-point improvement seen in DeepScaleR over its base model (Deepseek-R1-Distilled-Qwen-1.5B). - Additionally, we test Instella-Math on TTT-Bench, a new benchmark targeting strategic, spatial, and logical reasoning. Remarkably, without any exposure to TTT-Bench–style or similar strategic gaming data during any stage of training, Instella-Math achieves the best performance among all evaluated models. The release of the Instella-Math model marks a major step forward in open-source AI, showcasing the potential of reasoning-focused language models and the scalability of AMD hardware for reinforcement learning and fine-tuning. To our knowledge, Instella-Math is the fully open math reasoning model that is trained on AMD GPUs. As part of AMD's commitment to open innovation, we’re sharing the full model weights, training setup, codebase, and datasets to foster collaboration, transparency, and progress across the AI community. We invite researchers, educators, and developers to explore Instella-Math, build on its foundation, and collaborate with us in shaping the next generation of open, interpretable, and high-reasoning language models. Additional Resources - Blog: Introducing Instella-Math: Fully Open Language Model with Reasoning Capability - Code: https://github.com/AMD-AIG-AIMA/Instella-Math - Models: - https://huggingface.co/amd/Instella-3B-Math - https://huggingface.co/amd/Instella-3B-Math-SFT Please refer to the following blogs to get started with using these techniques on AMD GPUs: - Reinforcement Learning from Human Feedback on AMD GPUs with verl and ROCm Integration - PyTorch Fully Sharded Data Parallel (FSDP) on AMD GPUs with ROCm™ - Accelerating Large Language Models with Flash Attention on AMD GPUs - Accelerate PyTorch Models using torch.compile on AMD GPUs with ROCm™ - The models are being released for research purposes only and are not intended for use cases that require high levels of factuality, safety critical situations, health, or medical applications, generating false information, facilitating toxic conversations. - Model checkpoints are made accessible without any safety promises. It is crucial for users to conduct comprehensive evaluations and implement safety filtering mechanisms as per their respective use cases. - It may be possible to prompt the model to generate content that may be factually inaccurate, harmful, violent, toxic, biased, or otherwise objectionable. Such content may also get generated by prompts that did not intend to produce output as such. Users are thus requested to be aware of this and exercise caution and responsible thinking when using the model. - Multi-lingual abilities of the models have not been tested and thus may misunderstand and generate erroneous responses across different languages. The Instella-Math model is licensed for academic and research purposes under a ResearchRAIL license. Refer to the LICENSE and NOTICE files for more information.

amd/DeepSeek-R1-Distill-Qwen-1.5B-hybrid - ## Introduction This model was prepared using the AMD Quark Quantization tool, followed by necessary post-processing. - ## Quantization Strategy - AWQ / Group 128 / Asymmetric / UINT4 Weights / BFP16 activations - Excluded Layers: None - - ## Quick Start For quickstart, refer to Ryzen AI doucmentation Evaluation scores The MMLU scores are astronomy: 44.08, philosophy: 33.12, management: 49.51. License Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

amd/Mistral-7B-Instruct-v0.2-hybrid - ## Introduction This model was prepared using the AMD Quark Quantization tool, followed by necessary post-processing. - ## Quantization Strategy - AWQ / Group 128 / Asymmetric / UINT4 Weights / BFP16 activations - Excluded Layers: None - - ## Quick Start For quickstart, refer to Ryzen AI doucmentation Evaluation scores The MMLU scores are astronomy: 58.55, philosophy: 67.2 and management: 71.84. License Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

amd/Mistral-7B-v0.3-hybrid - ## Introduction This model was prepared using the AMD Quark Quantization tool, followed by necessary post-processing. - ## Quantization Strategy - AWQ / Group 128 / Asymmetric / UINT4 Weights / BFP16 activations - Excluded Layers: None - - ## Quick Start For quickstart, refer to Ryzen AI doucmentation Evaluation scores The MMLU scores are astronomy: 61.18, philosophy: 72.03, and management: 80.58. License Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

microsoft/Phi-3.5-mini-instruct - ## Introduction This model was prepared using the AMD Quark Quantization tool, followed by necessary post-processing. - ## Quantization Strategy - AWQ / Group 128 / Asymmetric / UINT4 Weights / BFP16 activations - Excluded Layers: None - ## Quick Start For quickstart, refer to Ryzen AI doucmentation Evaluation scores The MMLU scores are, astronomy: 75, philosophy: 69.77, and management: 79.61. Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

Qwen/Qwen1.5-7B-Chat-hybrid - ## Introduction This model was prepared using the AMD Quark Quantization tool, followed by necessary post-processing. - ## Quantization Strategy - AWQ / Group 128 / Asymmetric / UINT4 Weights / BFP16 activations - Excluded Layers: None - ## Quick Start For quickstart, refer to Ryzen AI doucmentation Evaluation scores The MMLU scores are, astronomy: 64.47, philospohy: 61.42, and management: 72.82. Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. By clicking to agree or by using or distributing any portion or element of the Tongyi Qianwen Materials, you will be deemed to have recognized and accepted the content of this Agreement, which is effective immediately. 1. Definitions a. This Tongyi Qianwen LICENSE AGREEMENT (this "Agreement") shall mean the terms and conditions for use, reproduction, distribution and modification of the Materials as defined by this Agreement. b. "We"(or "Us") shall mean Alibaba Cloud. c. "You" (or "Your") shall mean a natural person or legal entity exercising the rights granted by this Agreement and/or using the Materials for any purpose and in any field of use. d. 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Meta-Llama-3-8B-awq-g128-int4-asym-fp16-onnx-hybrid - ## Introduction This model was prepared using the AMD Quark Quantization tool, followed by necessary post-processing. - ## Quantization Strategy - AWQ / Group 128 / Asymmetric / UINT4 Weights / BFP16 activations - Excluded Layers: None - ## Quick Start For quickstart, refer to Ryzen AI doucmentation Evaluation scores The MMLU scores are astronomy: 64.47, philosophy: 68.81, and management: 76.7. License Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

amd/gemma-2-2b - ## Introduction This model was created using Quark Quantization, followed by OGA Model Builder, and finalized with post-processing for NPU deployment. - ## Quantization Strategy - AWQ / Group 128 / Asymmetric / BFP16 activations / UINT4 weights - ## Quick Start For quickstart, refer to Ryzen AI doucmentation Evaluation scores The MMLU scores are, astronomy: 55.26, philosophy: 56.91 and management: 69.9. License Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved.

Qwen1.5-7B-Chat-onnx-ryzenai-npu - ## Introduction This model was created using Quark Quantization, followed by OGA Model Builder, and finalized with post-processing for NPU deployment. - ## Quantization Strategy - AWQ / Group 128 / Asymmetric / BFP16 activations / UINT4 Weights - ## Quick Start For quickstart, refer to Ryzen AI documentation Evaluation scores - The perplexity measurement is run on the wikitext-2-raw-v1 (raw data) dataset provided by Hugging Face. Perplexity score measured for prompt length 2k is 11.8007. - The average MMLU scores are astronomy - 64.47, philosophy - 59.49 and management - 69.9. Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. 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amd/CodeLlama-7b-instruct-g128-hybrid - ## Introduction This model was prepared using the AMD Quark Quantization tool, followed by necessary post-processing. - ## Quantization Strategy - AWQ / Group 128 / Asymmetric / UINT4 Weights / BFP16 activations - Excluded Layers: None - - ## Quick Start For quickstart, refer to Ryzen AI doucmentation Evaluation scores The MMLU scores are astronomy: 41.45, philosophy: 46.95, and management: 61.17. License Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. 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amd/DeepSeek-R1-Distill-Qwen-7B-hybrid - ## Introduction This model was prepared using the AMD Quark Quantization tool, followed by necessary post-processing. - ## Quantization Strategy - AWQ / Group 128 / Asymmetric / UINT4 Weights / BFP16 activations - Excluded Layers: None - - ## Quick Start For quickstart, refer to Ryzen AI doucmentation Evaluation scores The MMLU scores are astronomy: 60.53, philosophy: 48.87, and management: 52.43. License Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

amd/Mistral-7B-Instruct-v0.1-hybrid - ## Introduction This model was prepared using the AMD Quark Quantization tool, followed by necessary post-processing. - ## Quantization Strategy - AWQ / Group 128 / Asymmetric / UINT4 Weights / BFP16 activations - Excluded Layers: None - - ## Quick Start For quickstart, refer to Ryzen AI doucmentation Evaluation scores The MMLU scores are astronomy: 52.63, philosophy: 63.02, and management: 69.9. License Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

Meta-Llama-3-8B-onnx-ryzenai-npu - ## Introduction This model was created using Quark Quantization, followed by OGA Model Builder, and finalized with post-processing for NPU deployment. - ## Quantization Strategy - AWQ / Group 128 / Asymmetric / BFP16 activations / UINT4 Weights - ## Quick Start For quickstart, refer to Ryzen AI documentation Evaluation scores - The perplexity measurement is run on the wikitext-2-raw-v1 (raw data) dataset provided by Hugging Face. Perplexity score measured for prompt length 2k is 6.65241. - The average MMLU scores are astronomy - 64.47, philosophy - 68.81 and management - 76.7. License Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. LLAMA 2 COMMUNITY LICENSE AGREEMENT Llama 2 Version Release Date: July 18, 2023 "Agreement" means the terms and conditions for use, reproduction, distribution and modification of the Llama Materials set forth herein. "Documentation" means the specifications, manuals and documentation accompanying Llama 2 distributed by Meta at ai.meta.com/resources/models-and- libraries/llama-downloads/. "Licensee" or "you" means you, or your employer or any other person or entity (if you are entering into this Agreement on such person or entity's behalf), of the age required under applicable laws, rules or regulations to provide legal consent and that has legal authority to bind your employer or such other person or entity if you are entering in this Agreement on their behalf. "Llama 2" means the foundational large language models and software and algorithms, including machine-learning model code, trained model weights, inference-enabling code, training-enabling code, fine-tuning enabling code and other elements of the foregoing distributed by Meta at ai.meta.com/resources/models-and- libraries/llama-downloads/. "Llama Materials" means, collectively, Meta's proprietary Llama 2 and Documentation (and any portion thereof) made available under this Agreement. "Meta" or "we" means Meta Platforms Ireland Limited (if you are located in or, if you are an entity, your principal place of business is in the EEA or Switzerland) and Meta Platforms, Inc. (if you are located outside of the EEA or Switzerland). By clicking "I Accept" below or by using or distributing any portion or element of the Llama Materials, you agree to be bound by this Agreement. a. Grant of Rights. You are granted a non-exclusive, worldwide, non- transferable and royalty-free limited license under Meta's intellectual property or other rights owned by Meta embodied in the Llama Materials to use, reproduce, distribute, copy, create derivative works of, and make modifications to the Llama Materials. i. If you distribute or make the Llama Materials, or any derivative works thereof, available to a third party, you shall provide a copy of this Agreement to such third party. ii. If you receive Llama Materials, or any derivative works thereof, from a Licensee as part of an integrated end user product, then Section 2 of this Agreement will not apply to you. iii. You must retain in all copies of the Llama Materials that you distribute the following attribution notice within a "Notice" text file distributed as a part of such copies: "Llama 2 is licensed under the LLAMA 2 Community License, Copyright (c) Meta Platforms, Inc. All Rights Reserved." iv. Your use of the Llama Materials must comply with applicable laws and regulations (including trade compliance laws and regulations) and adhere to the Acceptable Use Policy for the Llama Materials (available at https://ai.meta.com/llama/use-policy), which is hereby incorporated by reference into this Agreement. v. You will not use the Llama Materials or any output or results of the Llama Materials to improve any other large language model (excluding Llama 2 or derivative works thereof). 2. Additional Commercial Terms. If, on the Llama 2 version release date, the monthly active users of the products or services made available by or for Licensee, or Licensee's affiliates, is greater than 700 million monthly active users in the preceding calendar month, you must request a license from Meta, which Meta may grant to you in its sole discretion, and you are not authorized to exercise any of the rights under this Agreement unless or until Meta otherwise expressly grants you such rights. 3. Disclaimer of Warranty. UNLESS REQUIRED BY APPLICABLE LAW, THE LLAMA MATERIALS AND ANY OUTPUT AND RESULTS THEREFROM ARE PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING, WITHOUT LIMITATION, ANY WARRANTIES OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE. YOU ARE SOLELY RESPONSIBLE FOR DETERMINING THE APPROPRIATENESS OF USING OR REDISTRIBUTING THE LLAMA MATERIALS AND ASSUME ANY RISKS ASSOCIATED WITH YOUR USE OF THE LLAMA MATERIALS AND ANY OUTPUT AND RESULTS. 4. Limitation of Liability. IN NO EVENT WILL META OR ITS AFFILIATES BE LIABLE UNDER ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, TORT, NEGLIGENCE, PRODUCTS LIABILITY, OR OTHERWISE, ARISING OUT OF THIS AGREEMENT, FOR ANY LOST PROFITS OR ANY INDIRECT, SPECIAL, CONSEQUENTIAL, INCIDENTAL, EXEMPLARY OR PUNITIVE DAMAGES, EVEN IF META OR ITS AFFILIATES HAVE BEEN ADVISED OF THE POSSIBILITY OF ANY OF THE FOREGOING. a. No trademark licenses are granted under this Agreement, and in connection with the Llama Materials, neither Meta nor Licensee may use any name or mark owned by or associated with the other or any of its affiliates, except as required for reasonable and customary use in describing and redistributing the Llama Materials. b. 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The term of this Agreement will commence upon your acceptance of this Agreement or access to the Llama Materials and will continue in full force and effect until terminated in accordance with the terms and conditions herein. Meta may terminate this Agreement if you are in breach of any term or condition of this Agreement. Upon termination of this Agreement, you shall delete and cease use of the Llama Materials. Sections 3, 4 and 7 shall survive the termination of this Agreement. 7. Governing Law and Jurisdiction. This Agreement will be governed and construed under the laws of the State of California without regard to choice of law principles, and the UN Convention on Contracts for the International Sale of Goods does not apply to this Agreement. The courts of California shall have exclusive jurisdiction of any dispute arising out of this Agreement.

meta-llama/Llama-3.2-3B-hybrid - ## Introduction This model was prepared using the AMD Quark Quantization tool, followed by necessary post-processing. - ## Quantization Strategy - AWQ / Group 128 / Asymmetric / UINT4 Weights / BFP16 activations - Excluded Layers: None - ## Quick Start For quickstart, refer to Ryzen AI doucmentation Evaluation scores The MMLU scores are astronomy: 61.84, philosophy: 60.77, and management: 73.79. Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. LLAMA 3.2 COMMUNITY LICENSE AGREEMENT Llama 3.2 Version Release Date: September 25, 2024 “Agreement” means the terms and conditions for use, reproduction, distribution and modification of the Llama Materials set forth herein. “Documentation” means the specifications, manuals and documentation accompanying Llama 3.2 distributed by Meta at https://llama.meta.com/doc/overview. “Licensee” or “you” means you, or your employer or any other person or entity (if you are entering into this Agreement on such person or entity’s behalf), of the age required under applicable laws, rules or regulations to provide legal consent and that has legal authority to bind your employer or such other person or entity if you are entering in this Agreement on their behalf. “Llama 3.2” means the foundational large language models and software and algorithms, including machine-learning model code, trained model weights, inference-enabling code, training-enabling code, fine-tuning enabling code and other elements of the foregoing distributed by Meta at https://www.llama.com/llama-downloads. “Llama Materials” means, collectively, Meta’s proprietary Llama 3.2 and Documentation (and any portion thereof) made available under this Agreement. “Meta” or “we” means Meta Platforms Ireland Limited (if you are located in or, if you are an entity, your principal place of business is in the EEA or Switzerland) and Meta Platforms, Inc. (if you are located outside of the EEA or Switzerland). By clicking “I Accept” below or by using or distributing any portion or element of the Llama Materials, you agree to be bound by this Agreement. License Rights and Redistribution. a. Grant of Rights. You are granted a non-exclusive, worldwide, non-transferable and royalty-free limited license under Meta’s intellectual property or other rights owned by Meta embodied in the Llama Materials to use, reproduce, distribute, copy, create derivative works of, and make modifications to the Llama Materials. b. Redistribution and Use. i. If you distribute or make available the Llama Materials (or any derivative works thereof), or a product or service (including another AI model) that contains any of them, you shall (A) provide a copy of this Agreement with any such Llama Materials; and (B) prominently display “Built with Llama” on a related website, user interface, blogpost, about page, or product documentation. If you use the Llama Materials or any outputs or results of the Llama Materials to create, train, fine tune, or otherwise improve an AI model, which is distributed or made available, you shall also include “Llama” at the beginning of any such AI model name. ii. If you receive Llama Materials, or any derivative works thereof, from a Licensee as part of an integrated end user product, then Section 2 of this Agreement will not apply to you. iii. You must retain in all copies of the Llama Materials that you distribute the following attribution notice within a “Notice” text file distributed as a part of such copies: “Llama 3.2 is licensed under the Llama 3.2 Community License, Copyright © Meta Platforms, Inc. All Rights Reserved.” iv. Your use of the Llama Materials must comply with applicable laws and regulations (including trade compliance laws and regulations) and adhere to the Acceptable Use Policy for the Llama Materials (available at https://www.llama.com/llama32/use-policy), which is hereby incorporated by reference into this Agreement. Additional Commercial Terms. If, on the Llama 3.2 version release date, the monthly active users of the products or services made available by or for Licensee, or Licensee’s affiliates, is greater than 700 million monthly active users in the preceding calendar month, you must request a license from Meta, which Meta may grant to you in its sole discretion, and you are not authorized to exercise any of the rights under this Agreement unless or until Meta otherwise expressly grants you such rights. Disclaimer of Warranty. UNLESS REQUIRED BY APPLICABLE LAW, THE LLAMA MATERIALS AND ANY OUTPUT AND RESULTS THEREFROM ARE PROVIDED ON AN “AS IS” BASIS, WITHOUT WARRANTIES OF ANY KIND, AND META DISCLAIMS ALL WARRANTIES OF ANY KIND, BOTH EXPRESS AND IMPLIED, INCLUDING, WITHOUT LIMITATION, ANY WARRANTIES OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE. YOU ARE SOLELY RESPONSIBLE FOR DETERMINING THE APPROPRIATENESS OF USING OR REDISTRIBUTING THE LLAMA MATERIALS AND ASSUME ANY RISKS ASSOCIATED WITH YOUR USE OF THE LLAMA MATERIALS AND ANY OUTPUT AND RESULTS. Limitation of Liability. IN NO EVENT WILL META OR ITS AFFILIATES BE LIABLE UNDER ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, TORT, NEGLIGENCE, PRODUCTS LIABILITY, OR OTHERWISE, ARISING OUT OF THIS AGREEMENT, FOR ANY LOST PROFITS OR ANY INDIRECT, SPECIAL, CONSEQUENTIAL, INCIDENTAL, EXEMPLARY OR PUNITIVE DAMAGES, EVEN IF META OR ITS AFFILIATES HAVE BEEN ADVISED OF THE POSSIBILITY OF ANY OF THE FOREGOING. Intellectual Property. a. No trademark licenses are granted under this Agreement, and in connection with the Llama Materials, neither Meta nor Licensee may use any name or mark owned by or associated with the other or any of its affiliates, except as required for reasonable and customary use in describing and redistributing the Llama Materials or as set forth in this Section 5(a). Meta hereby grants you a license to use “Llama” (the “Mark”) solely as required to comply with the last sentence of Section 1.b.i. You will comply with Meta’s brand guidelines (currently accessible at https://about.meta.com/brand/resources/meta/company-brand/). All goodwill arising out of your use of the Mark will inure to the benefit of Meta. b. Subject to Meta’s ownership of Llama Materials and derivatives made by or for Meta, with respect to any derivative works and modifications of the Llama Materials that are made by you, as between you and Meta, you are and will be the owner of such derivative works and modifications. c. If you institute litigation or other proceedings against Meta or any entity (including a cross-claim or counterclaim in a lawsuit) alleging that the Llama Materials or Llama 3.2 outputs or results, or any portion of any of the foregoing, constitutes infringement of intellectual property or other rights owned or licensable by you, then any licenses granted to you under this Agreement shall terminate as of the date such litigation or claim is filed or instituted. You will indemnify and hold harmless Meta from and against any claim by any third party arising out of or related to your use or distribution of the Llama Materials. Term and Termination. The term of this Agreement will commence upon your acceptance of this Agreement or access to the Llama Materials and will continue in full force and effect until terminated in accordance with the terms and conditions herein. Meta may terminate this Agreement if you are in breach of any term or condition of this Agreement. Upon termination of this Agreement, you shall delete and cease use of the Llama Materials. Sections 3, 4 and 7 shall survive the termination of this Agreement. Governing Law and Jurisdiction. This Agreement will be governed and construed under the laws of the State of California without regard to choice of law principles, and the UN Convention on Contracts for the International Sale of Goods does not apply to this Agreement. The courts of California shall have exclusive jurisdiction of any dispute arising out of this Agreement. Llama 3.2 Acceptable Use Policy Meta is committed to promoting safe and fair use of its tools and features, including Llama 3.2. If you access or use Llama 3.2, you agree to this Acceptable Use Policy (“Policy”). The most recent copy of this policy can be found at https://www.llama.com/llama32/use-policy. Prohibited Uses We want everyone to use Llama 3.2 safely and responsibly. You agree you will not use, or allow others to use, Llama 3.2 to: Violate the law or others’ rights, including to: Engage in, promote, generate, contribute to, encourage, plan, incite, or further illegal or unlawful activity or content, such as: Violence or terrorism Exploitation or harm to children, including the solicitation, creation, acquisition, or dissemination of child exploitative content or failure to report Child Sexual Abuse Material Human trafficking, exploitation, and sexual violence The illegal distribution of information or materials to minors, including obscene materials, or failure to employ legally required age-gating in connection with such information or materials. Sexual solicitation Any other criminal activity Engage in, promote, incite, or facilitate the harassment, abuse, threatening, or bullying of individuals or groups of individuals Engage in, promote, incite, or facilitate discrimination or other unlawful or harmful conduct in the provision of employment, employment benefits, credit, housing, other economic benefits, or other essential goods and services Engage in the unauthorized or unlicensed practice of any profession including, but not limited to, financial, legal, medical/health, or related professional practices Collect, process, disclose, generate, or infer private or sensitive information about individuals, including information about individuals’ identity, health, or demographic information, unless you have obtained the right to do so in accordance with applicable law Engage in or facilitate any action or generate any content that infringes, misappropriates, or otherwise violates any third-party rights, including the outputs or results of any products or services using the Llama Materials Create, generate, or facilitate the creation of malicious code, malware, computer viruses or do anything else that could disable, overburden, interfere with or impair the proper working, integrity, operation or appearance of a website or computer system Engage in any action, or facilitate any action, to intentionally circumvent or remove usage restrictions or other safety measures, or to enable functionality disabled by Meta Engage in, promote, incite, facilitate, or assist in the planning or development of activities that present a risk of death or bodily harm to individuals, including use of Llama 3.2 related to the following: Military, warfare, nuclear industries or applications, espionage, use for materials or activities that are subject to the International Traffic Arms Regulations (ITAR) maintained by the United States Department of State or to the U.S. Biological Weapons Anti-Terrorism Act of 1989 or the Chemical Weapons Convention Implementation Act of 1997 Guns and illegal weapons (including weapon development) Illegal drugs and regulated/controlled substances Operation of critical infrastructure, transportation technologies, or heavy machinery Self-harm or harm to others, including suicide, cutting, and eating disorders Any content intended to incite or promote violence, abuse, or any infliction of bodily harm to an individual Intentionally deceive or mislead others, including use of Llama 3.2 related to the following: Generating, promoting, or furthering fraud or the creation or promotion of disinformation Generating, promoting, or furthering defamatory content, including the creation of defamatory statements, images, or other content Generating, promoting, or further distributing spam Impersonating another individual without consent, authorization, or legal right Representing that the use of Llama 3.2 or outputs are human-generated Generating or facilitating false online engagement, including fake reviews and other means of fake online engagement Fail to appropriately disclose to end users any known dangers of your AI system 5. Interact with third party tools, models, or software designed to generate unlawful content or engage in unlawful or harmful conduct and/or represent that the outputs of such tools, models, or software are associated with Meta or Llama 3.2 With respect to any multimodal models included in Llama 3.2, the rights granted under Section 1(a) of the Llama 3.2 Community License Agreement are not being granted to you if you are an individual domiciled in, or a company with a principal place of business in, the European Union. This restriction does not apply to end users of a product or service that incorporates any such multimodal models. Please report any violation of this Policy, software “bug,” or other problems that could lead to a violation of this Policy through one of the following means: Reporting issues with the model: https://github.com/meta-llama/llama-models/issues Reporting risky content generated by the model: developers.facebook.com/llamaoutputfeedback Reporting bugs and security concerns: facebook.com/whitehat/info Reporting violations of the Acceptable Use Policy or unlicensed uses of Llama 3.2: [email protected]

amd/Qwen2.5-coder-1.5B-instruct-hybrid - ## Introduction This model was prepared using the AMD Quark Quantization tool, followed by necessary post-processing. - ## Quantization Strategy - AWQ / Group 128 / Asymmetric / UINT4 Weights / BFP16 activations - Excluded Layers: None - ## Quick Start For quickstart, refer to Ryzen AI doucmentation Evaluation scores The MMLU scores are astronomy: 42.76, philosophy: 50.8, and management: 63.11. Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. By clicking to agree or by using or distributing any portion or element of the Tongyi Qianwen Materials, you will be deemed to have recognized and accepted the content of this Agreement, which is effective immediately. 1. Definitions a. This Tongyi Qianwen LICENSE AGREEMENT (this "Agreement") shall mean the terms and conditions for use, reproduction, distribution and modification of the Materials as defined by this Agreement. b. "We"(or "Us") shall mean Alibaba Cloud. c. "You" (or "Your") shall mean a natural person or legal entity exercising the rights granted by this Agreement and/or using the Materials for any purpose and in any field of use. d. "Third Parties" shall mean individuals or legal entities that are not under common control with Us or You. e. "Tongyi Qianwen" shall mean the large language models (including Qwen model and Qwen-Chat model), and software and algorithms, consisting of trained model weights, parameters (including optimizer states), machine-learning model code, inference-enabling code, training-enabling code, fine-tuning enabling code and other elements of the foregoing distributed by Us. f. "Materials" shall mean, collectively, Alibaba Cloud's proprietary Tongyi Qianwen and Documentation (and any portion thereof) made available under this Agreement. g. "Source" form shall mean the preferred form for making modifications, including but not limited to model source code, documentation source, and configuration files. h. 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This DML model is prepared using block-wise quantization with block size as 128. License Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

meta-llama/Llama-3.2-1B-hybrid - ## Introduction This model was prepared using the AMD Quark Quantization tool, followed by necessary post-processing. - ## Quantization Strategy - AWQ / Group 128 / Asymmetric / UINT4 Weights / BFP16 activations - Excluded Layers: None - ## Quick Start For quickstart, refer to Ryzen AI doucmentation Evaluation scores The MMLU scores are astronomy: 25, philosophy: 22.51, and management: 21.36. Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. LLAMA 3.2 COMMUNITY LICENSE AGREEMENT Llama 3.2 Version Release Date: September 25, 2024 “Agreement” means the terms and conditions for use, reproduction, distribution and modification of the Llama Materials set forth herein. “Documentation” means the specifications, manuals and documentation accompanying Llama 3.2 distributed by Meta at https://llama.meta.com/doc/overview. “Licensee” or “you” means you, or your employer or any other person or entity (if you are entering into this Agreement on such person or entity’s behalf), of the age required under applicable laws, rules or regulations to provide legal consent and that has legal authority to bind your employer or such other person or entity if you are entering in this Agreement on their behalf. “Llama 3.2” means the foundational large language models and software and algorithms, including machine-learning model code, trained model weights, inference-enabling code, training-enabling code, fine-tuning enabling code and other elements of the foregoing distributed by Meta at https://www.llama.com/llama-downloads. “Llama Materials” means, collectively, Meta’s proprietary Llama 3.2 and Documentation (and any portion thereof) made available under this Agreement. “Meta” or “we” means Meta Platforms Ireland Limited (if you are located in or, if you are an entity, your principal place of business is in the EEA or Switzerland) and Meta Platforms, Inc. 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If you use the Llama Materials or any outputs or results of the Llama Materials to create, train, fine tune, or otherwise improve an AI model, which is distributed or made available, you shall also include “Llama” at the beginning of any such AI model name. ii. If you receive Llama Materials, or any derivative works thereof, from a Licensee as part of an integrated end user product, then Section 2 of this Agreement will not apply to you. iii. You must retain in all copies of the Llama Materials that you distribute the following attribution notice within a “Notice” text file distributed as a part of such copies: “Llama 3.2 is licensed under the Llama 3.2 Community License, Copyright © Meta Platforms, Inc. All Rights Reserved.” iv. Your use of the Llama Materials must comply with applicable laws and regulations (including trade compliance laws and regulations) and adhere to the Acceptable Use Policy for the Llama Materials (available at https://www.llama.com/llama32/use-policy), which is hereby incorporated by reference into this Agreement. Additional Commercial Terms. If, on the Llama 3.2 version release date, the monthly active users of the products or services made available by or for Licensee, or Licensee’s affiliates, is greater than 700 million monthly active users in the preceding calendar month, you must request a license from Meta, which Meta may grant to you in its sole discretion, and you are not authorized to exercise any of the rights under this Agreement unless or until Meta otherwise expressly grants you such rights. Disclaimer of Warranty. UNLESS REQUIRED BY APPLICABLE LAW, THE LLAMA MATERIALS AND ANY OUTPUT AND RESULTS THEREFROM ARE PROVIDED ON AN “AS IS” BASIS, WITHOUT WARRANTIES OF ANY KIND, AND META DISCLAIMS ALL WARRANTIES OF ANY KIND, BOTH EXPRESS AND IMPLIED, INCLUDING, WITHOUT LIMITATION, ANY WARRANTIES OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE. YOU ARE SOLELY RESPONSIBLE FOR DETERMINING THE APPROPRIATENESS OF USING OR REDISTRIBUTING THE LLAMA MATERIALS AND ASSUME ANY RISKS ASSOCIATED WITH YOUR USE OF THE LLAMA MATERIALS AND ANY OUTPUT AND RESULTS. Limitation of Liability. IN NO EVENT WILL META OR ITS AFFILIATES BE LIABLE UNDER ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, TORT, NEGLIGENCE, PRODUCTS LIABILITY, OR OTHERWISE, ARISING OUT OF THIS AGREEMENT, FOR ANY LOST PROFITS OR ANY INDIRECT, SPECIAL, CONSEQUENTIAL, INCIDENTAL, EXEMPLARY OR PUNITIVE DAMAGES, EVEN IF META OR ITS AFFILIATES HAVE BEEN ADVISED OF THE POSSIBILITY OF ANY OF THE FOREGOING. Intellectual Property. a. No trademark licenses are granted under this Agreement, and in connection with the Llama Materials, neither Meta nor Licensee may use any name or mark owned by or associated with the other or any of its affiliates, except as required for reasonable and customary use in describing and redistributing the Llama Materials or as set forth in this Section 5(a). Meta hereby grants you a license to use “Llama” (the “Mark”) solely as required to comply with the last sentence of Section 1.b.i. You will comply with Meta’s brand guidelines (currently accessible at https://about.meta.com/brand/resources/meta/company-brand/). All goodwill arising out of your use of the Mark will inure to the benefit of Meta. b. Subject to Meta’s ownership of Llama Materials and derivatives made by or for Meta, with respect to any derivative works and modifications of the Llama Materials that are made by you, as between you and Meta, you are and will be the owner of such derivative works and modifications. c. If you institute litigation or other proceedings against Meta or any entity (including a cross-claim or counterclaim in a lawsuit) alleging that the Llama Materials or Llama 3.2 outputs or results, or any portion of any of the foregoing, constitutes infringement of intellectual property or other rights owned or licensable by you, then any licenses granted to you under this Agreement shall terminate as of the date such litigation or claim is filed or instituted. You will indemnify and hold harmless Meta from and against any claim by any third party arising out of or related to your use or distribution of the Llama Materials. Term and Termination. The term of this Agreement will commence upon your acceptance of this Agreement or access to the Llama Materials and will continue in full force and effect until terminated in accordance with the terms and conditions herein. Meta may terminate this Agreement if you are in breach of any term or condition of this Agreement. Upon termination of this Agreement, you shall delete and cease use of the Llama Materials. Sections 3, 4 and 7 shall survive the termination of this Agreement. Governing Law and Jurisdiction. This Agreement will be governed and construed under the laws of the State of California without regard to choice of law principles, and the UN Convention on Contracts for the International Sale of Goods does not apply to this Agreement. The courts of California shall have exclusive jurisdiction of any dispute arising out of this Agreement. Llama 3.2 Acceptable Use Policy Meta is committed to promoting safe and fair use of its tools and features, including Llama 3.2. If you access or use Llama 3.2, you agree to this Acceptable Use Policy (“Policy”). The most recent copy of this policy can be found at https://www.llama.com/llama32/use-policy. Prohibited Uses We want everyone to use Llama 3.2 safely and responsibly. 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Interact with third party tools, models, or software designed to generate unlawful content or engage in unlawful or harmful conduct and/or represent that the outputs of such tools, models, or software are associated with Meta or Llama 3.2 With respect to any multimodal models included in Llama 3.2, the rights granted under Section 1(a) of the Llama 3.2 Community License Agreement are not being granted to you if you are an individual domiciled in, or a company with a principal place of business in, the European Union. This restriction does not apply to end users of a product or service that incorporates any such multimodal models. 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Llama-3.1-8B-onnx-ryzenai-npu - ## Introduction This model was created using Quark Quantization, followed by OGA Model Builder, and finalized with post-processing for NPU deployment. - ## Quantization Strategy - AWQ / Group 128 / Asymmetric / BFP16 activations / UINT4 Weights - ## Quick Start For quickstart, refer to Ryzen AI documentation Evaluation scores - The perplexity measurement is run on the wikitext-2-raw-v1 (raw data) dataset provided by Hugging Face. Perplexity score measured for prompt length 2k is 6.78648. - The average MMLU scores are astronomy - 67.76, philosophy - 71.38 and management - 81.55. License Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. LLAMA 2 COMMUNITY LICENSE AGREEMENT Llama 2 Version Release Date: July 18, 2023 "Agreement" means the terms and conditions for use, reproduction, distribution and modification of the Llama Materials set forth herein. "Documentation" means the specifications, manuals and documentation accompanying Llama 2 distributed by Meta at ai.meta.com/resources/models-and- libraries/llama-downloads/. "Licensee" or "you" means you, or your employer or any other person or entity (if you are entering into this Agreement on such person or entity's behalf), of the age required under applicable laws, rules or regulations to provide legal consent and that has legal authority to bind your employer or such other person or entity if you are entering in this Agreement on their behalf. "Llama 2" means the foundational large language models and software and algorithms, including machine-learning model code, trained model weights, inference-enabling code, training-enabling code, fine-tuning enabling code and other elements of the foregoing distributed by Meta at ai.meta.com/resources/models-and- libraries/llama-downloads/. "Llama Materials" means, collectively, Meta's proprietary Llama 2 and Documentation (and any portion thereof) made available under this Agreement. "Meta" or "we" means Meta Platforms Ireland Limited (if you are located in or, if you are an entity, your principal place of business is in the EEA or Switzerland) and Meta Platforms, Inc. (if you are located outside of the EEA or Switzerland). By clicking "I Accept" below or by using or distributing any portion or element of the Llama Materials, you agree to be bound by this Agreement. a. Grant of Rights. You are granted a non-exclusive, worldwide, non- transferable and royalty-free limited license under Meta's intellectual property or other rights owned by Meta embodied in the Llama Materials to use, reproduce, distribute, copy, create derivative works of, and make modifications to the Llama Materials. i. If you distribute or make the Llama Materials, or any derivative works thereof, available to a third party, you shall provide a copy of this Agreement to such third party. ii. If you receive Llama Materials, or any derivative works thereof, from a Licensee as part of an integrated end user product, then Section 2 of this Agreement will not apply to you. iii. You must retain in all copies of the Llama Materials that you distribute the following attribution notice within a "Notice" text file distributed as a part of such copies: "Llama 2 is licensed under the LLAMA 2 Community License, Copyright (c) Meta Platforms, Inc. All Rights Reserved." iv. Your use of the Llama Materials must comply with applicable laws and regulations (including trade compliance laws and regulations) and adhere to the Acceptable Use Policy for the Llama Materials (available at https://ai.meta.com/llama/use-policy), which is hereby incorporated by reference into this Agreement. v. You will not use the Llama Materials or any output or results of the Llama Materials to improve any other large language model (excluding Llama 2 or derivative works thereof). 2. Additional Commercial Terms. If, on the Llama 2 version release date, the monthly active users of the products or services made available by or for Licensee, or Licensee's affiliates, is greater than 700 million monthly active users in the preceding calendar month, you must request a license from Meta, which Meta may grant to you in its sole discretion, and you are not authorized to exercise any of the rights under this Agreement unless or until Meta otherwise expressly grants you such rights. 3. Disclaimer of Warranty. UNLESS REQUIRED BY APPLICABLE LAW, THE LLAMA MATERIALS AND ANY OUTPUT AND RESULTS THEREFROM ARE PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING, WITHOUT LIMITATION, ANY WARRANTIES OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE. YOU ARE SOLELY RESPONSIBLE FOR DETERMINING THE APPROPRIATENESS OF USING OR REDISTRIBUTING THE LLAMA MATERIALS AND ASSUME ANY RISKS ASSOCIATED WITH YOUR USE OF THE LLAMA MATERIALS AND ANY OUTPUT AND RESULTS. 4. Limitation of Liability. IN NO EVENT WILL META OR ITS AFFILIATES BE LIABLE UNDER ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, TORT, NEGLIGENCE, PRODUCTS LIABILITY, OR OTHERWISE, ARISING OUT OF THIS AGREEMENT, FOR ANY LOST PROFITS OR ANY INDIRECT, SPECIAL, CONSEQUENTIAL, INCIDENTAL, EXEMPLARY OR PUNITIVE DAMAGES, EVEN IF META OR ITS AFFILIATES HAVE BEEN ADVISED OF THE POSSIBILITY OF ANY OF THE FOREGOING. a. No trademark licenses are granted under this Agreement, and in connection with the Llama Materials, neither Meta nor Licensee may use any name or mark owned by or associated with the other or any of its affiliates, except as required for reasonable and customary use in describing and redistributing the Llama Materials. b. Subject to Meta's ownership of Llama Materials and derivatives made by or for Meta, with respect to any derivative works and modifications of the Llama Materials that are made by you, as between you and Meta, you are and will be the owner of such derivative works and modifications. c. If you institute litigation or other proceedings against Meta or any entity (including a cross-claim or counterclaim in a lawsuit) alleging that the Llama Materials or Llama 2 outputs or results, or any portion of any of the foregoing, constitutes infringement of intellectual property or other rights owned or licensable by you, then any licenses granted to you under this Agreement shall terminate as of the date such litigation or claim is filed or instituted. You will indemnify and hold harmless Meta from and against any claim by any third party arising out of or related to your use or distribution of the Llama Materials. 6. Term and Termination. The term of this Agreement will commence upon your acceptance of this Agreement or access to the Llama Materials and will continue in full force and effect until terminated in accordance with the terms and conditions herein. Meta may terminate this Agreement if you are in breach of any term or condition of this Agreement. Upon termination of this Agreement, you shall delete and cease use of the Llama Materials. Sections 3, 4 and 7 shall survive the termination of this Agreement. 7. Governing Law and Jurisdiction. This Agreement will be governed and construed under the laws of the State of California without regard to choice of law principles, and the UN Convention on Contracts for the International Sale of Goods does not apply to this Agreement. The courts of California shall have exclusive jurisdiction of any dispute arising out of this Agreement.

Mistral-7B-v0.3-onnx-ryzenai-npu - ## Introduction This model was created using Quark Quantization, followed by OGA Model Builder, and finalized with post-processing for NPU deployment. - ## Quantization Strategy - AWQ / Group 128 / Asymmetric / BFP16 activations / UINT4 Weights - ## Quick Start For quickstart, refer to Ryzen AI documentation Evaluation scores - The perplexity measurement is run on the wikitext-2-raw-v1 (raw data) dataset provided by Hugging Face. Perplexity score measured for prompt length 2k is 5.4644. - The average MMLU scores are astronomy - 61.18, philosophy - 72.03 and management - 80.58. License Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

meta-llama/Llama-2-7b-hf - ## Introduction This model was prepared using the AMD Quark Quantization tool, followed by necessary post-processing. - ## Quantization Strategy - AWQ / Group 128 / Asymmetric / UINT4 Weights / FP16 activations - Excluded Layers: None - ## Quick Start For quickstart, refer to Ryzen AI doucmentation Evaluation scores The perplexity measurement is run on the wikitext-2-raw-v1 (raw data) dataset provided by Hugging Face. Perplexity score measured for prompt length 2k is 5.6769. License Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. LLAMA 2 COMMUNITY LICENSE AGREEMENT Llama 2 Version Release Date: July 18, 2023 "Agreement" means the terms and conditions for use, reproduction, distribution and modification of the Llama Materials set forth herein. "Documentation" means the specifications, manuals and documentation accompanying Llama 2 distributed by Meta at ai.meta.com/resources/models-and- libraries/llama-downloads/. "Licensee" or "you" means you, or your employer or any other person or entity (if you are entering into this Agreement on such person or entity's behalf), of the age required under applicable laws, rules or regulations to provide legal consent and that has legal authority to bind your employer or such other person or entity if you are entering in this Agreement on their behalf. "Llama 2" means the foundational large language models and software and algorithms, including machine-learning model code, trained model weights, inference-enabling code, training-enabling code, fine-tuning enabling code and other elements of the foregoing distributed by Meta at ai.meta.com/resources/models-and- libraries/llama-downloads/. "Llama Materials" means, collectively, Meta's proprietary Llama 2 and Documentation (and any portion thereof) made available under this Agreement. "Meta" or "we" means Meta Platforms Ireland Limited (if you are located in or, if you are an entity, your principal place of business is in the EEA or Switzerland) and Meta Platforms, Inc. (if you are located outside of the EEA or Switzerland). By clicking "I Accept" below or by using or distributing any portion or element of the Llama Materials, you agree to be bound by this Agreement. a. Grant of Rights. You are granted a non-exclusive, worldwide, non- transferable and royalty-free limited license under Meta's intellectual property or other rights owned by Meta embodied in the Llama Materials to use, reproduce, distribute, copy, create derivative works of, and make modifications to the Llama Materials. i. If you distribute or make the Llama Materials, or any derivative works thereof, available to a third party, you shall provide a copy of this Agreement to such third party. ii. If you receive Llama Materials, or any derivative works thereof, from a Licensee as part of an integrated end user product, then Section 2 of this Agreement will not apply to you. iii. You must retain in all copies of the Llama Materials that you distribute the following attribution notice within a "Notice" text file distributed as a part of such copies: "Llama 2 is licensed under the LLAMA 2 Community License, Copyright (c) Meta Platforms, Inc. All Rights Reserved." iv. Your use of the Llama Materials must comply with applicable laws and regulations (including trade compliance laws and regulations) and adhere to the Acceptable Use Policy for the Llama Materials (available at https://ai.meta.com/llama/use-policy), which is hereby incorporated by reference into this Agreement. v. You will not use the Llama Materials or any output or results of the Llama Materials to improve any other large language model (excluding Llama 2 or derivative works thereof). 2. Additional Commercial Terms. If, on the Llama 2 version release date, the monthly active users of the products or services made available by or for Licensee, or Licensee's affiliates, is greater than 700 million monthly active users in the preceding calendar month, you must request a license from Meta, which Meta may grant to you in its sole discretion, and you are not authorized to exercise any of the rights under this Agreement unless or until Meta otherwise expressly grants you such rights. 3. Disclaimer of Warranty. UNLESS REQUIRED BY APPLICABLE LAW, THE LLAMA MATERIALS AND ANY OUTPUT AND RESULTS THEREFROM ARE PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING, WITHOUT LIMITATION, ANY WARRANTIES OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE. YOU ARE SOLELY RESPONSIBLE FOR DETERMINING THE APPROPRIATENESS OF USING OR REDISTRIBUTING THE LLAMA MATERIALS AND ASSUME ANY RISKS ASSOCIATED WITH YOUR USE OF THE LLAMA MATERIALS AND ANY OUTPUT AND RESULTS. 4. Limitation of Liability. IN NO EVENT WILL META OR ITS AFFILIATES BE LIABLE UNDER ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, TORT, NEGLIGENCE, PRODUCTS LIABILITY, OR OTHERWISE, ARISING OUT OF THIS AGREEMENT, FOR ANY LOST PROFITS OR ANY INDIRECT, SPECIAL, CONSEQUENTIAL, INCIDENTAL, EXEMPLARY OR PUNITIVE DAMAGES, EVEN IF META OR ITS AFFILIATES HAVE BEEN ADVISED OF THE POSSIBILITY OF ANY OF THE FOREGOING. a. No trademark licenses are granted under this Agreement, and in connection with the Llama Materials, neither Meta nor Licensee may use any name or mark owned by or associated with the other or any of its affiliates, except as required for reasonable and customary use in describing and redistributing the Llama Materials. b. Subject to Meta's ownership of Llama Materials and derivatives made by or for Meta, with respect to any derivative works and modifications of the Llama Materials that are made by you, as between you and Meta, you are and will be the owner of such derivative works and modifications. c. If you institute litigation or other proceedings against Meta or any entity (including a cross-claim or counterclaim in a lawsuit) alleging that the Llama Materials or Llama 2 outputs or results, or any portion of any of the foregoing, constitutes infringement of intellectual property or other rights owned or licensable by you, then any licenses granted to you under this Agreement shall terminate as of the date such litigation or claim is filed or instituted. You will indemnify and hold harmless Meta from and against any claim by any third party arising out of or related to your use or distribution of the Llama Materials. 6. Term and Termination. The term of this Agreement will commence upon your acceptance of this Agreement or access to the Llama Materials and will continue in full force and effect until terminated in accordance with the terms and conditions herein. Meta may terminate this Agreement if you are in breach of any term or condition of this Agreement. Upon termination of this Agreement, you shall delete and cease use of the Llama Materials. Sections 3, 4 and 7 shall survive the termination of this Agreement. 7. Governing Law and Jurisdiction. This Agreement will be governed and construed under the laws of the State of California without regard to choice of law principles, and the UN Convention on Contracts for the International Sale of Goods does not apply to this Agreement. The courts of California shall have exclusive jurisdiction of any dispute arising out of this Agreement.

amd/CodeLlama-7b-instruct-g128-hybrid - ## Introduction This model was prepared using the AMD Quark Quantization tool, followed by necessary post-processing. - ## Quantization Strategy - AWQ / Group 128 / Asymmetric / UINT4 Weights / FP16 activations - Excluded Layers: None - - ## Quick Start For quickstart, refer to Ryzen AI doucmentation Evaluation scores The perplexity measurement is run on the wikitext-2-raw-v1 (raw data) dataset provided by Hugging Face. Perplexity score measured for prompt length 2k is 7.260. License Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. LLAMA 2 COMMUNITY LICENSE AGREEMENT Llama 2 Version Release Date: July 18, 2023 "Agreement" means the terms and conditions for use, reproduction, distribution and modification of the Llama Materials set forth herein. "Documentation" means the specifications, manuals and documentation accompanying Llama 2 distributed by Meta at ai.meta.com/resources/models-and- libraries/llama-downloads/. "Licensee" or "you" means you, or your employer or any other person or entity (if you are entering into this Agreement on such person or entity's behalf), of the age required under applicable laws, rules or regulations to provide legal consent and that has legal authority to bind your employer or such other person or entity if you are entering in this Agreement on their behalf. "Llama 2" means the foundational large language models and software and algorithms, including machine-learning model code, trained model weights, inference-enabling code, training-enabling code, fine-tuning enabling code and other elements of the foregoing distributed by Meta at ai.meta.com/resources/models-and- libraries/llama-downloads/. "Llama Materials" means, collectively, Meta's proprietary Llama 2 and Documentation (and any portion thereof) made available under this Agreement. "Meta" or "we" means Meta Platforms Ireland Limited (if you are located in or, if you are an entity, your principal place of business is in the EEA or Switzerland) and Meta Platforms, Inc. (if you are located outside of the EEA or Switzerland). By clicking "I Accept" below or by using or distributing any portion or element of the Llama Materials, you agree to be bound by this Agreement. a. Grant of Rights. You are granted a non-exclusive, worldwide, non- transferable and royalty-free limited license under Meta's intellectual property or other rights owned by Meta embodied in the Llama Materials to use, reproduce, distribute, copy, create derivative works of, and make modifications to the Llama Materials. i. If you distribute or make the Llama Materials, or any derivative works thereof, available to a third party, you shall provide a copy of this Agreement to such third party. ii. 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chatglm3-6b-awq-w-int4-asym-gs128-a-fp16-onnx-ryzen-strix-hybrid - ## Introduction This model was prepared using the AMD Quark Quantization tool, followed by necessary post-processing. - ## Quantization Strategy - AWQ / Group 128 / Asymmetric / UINT4 Weights / FP16 activations - Excluded Layers: None - ## Quick Start For quickstart, refer to Ryzen AI doucmentation Evaluation scores The perplexity measurement is run on the wikitext-2-raw-v1 (raw data) dataset provided by Hugging Face. Perplexity score measured for prompt length 2k is 29.7801. License Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

meta-llama/Llama-2-7b-hf - ## Introduction This model was prepared using the AMD Quark Quantization tool, followed by necessary post-processing. - ## Quantization Strategy - AWQ / Group 128 / Asymmetric / UINT4 Weights / BFP16 activations - Excluded Layers: None - ## Quick Start For quickstart, refer to Ryzen AI doucmentation Evaluation scores The MMLU scores are astronomy: 44.08, philosophy: 57.23, and management: 61.17. License Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. LLAMA 2 COMMUNITY LICENSE AGREEMENT Llama 2 Version Release Date: July 18, 2023 "Agreement" means the terms and conditions for use, reproduction, distribution and modification of the Llama Materials set forth herein. "Documentation" means the specifications, manuals and documentation accompanying Llama 2 distributed by Meta at ai.meta.com/resources/models-and- libraries/llama-downloads/. "Licensee" or "you" means you, or your employer or any other person or entity (if you are entering into this Agreement on such person or entity's behalf), of the age required under applicable laws, rules or regulations to provide legal consent and that has legal authority to bind your employer or such other person or entity if you are entering in this Agreement on their behalf. "Llama 2" means the foundational large language models and software and algorithms, including machine-learning model code, trained model weights, inference-enabling code, training-enabling code, fine-tuning enabling code and other elements of the foregoing distributed by Meta at ai.meta.com/resources/models-and- libraries/llama-downloads/. "Llama Materials" means, collectively, Meta's proprietary Llama 2 and Documentation (and any portion thereof) made available under this Agreement. "Meta" or "we" means Meta Platforms Ireland Limited (if you are located in or, if you are an entity, your principal place of business is in the EEA or Switzerland) and Meta Platforms, Inc. (if you are located outside of the EEA or Switzerland). By clicking "I Accept" below or by using or distributing any portion or element of the Llama Materials, you agree to be bound by this Agreement. a. Grant of Rights. You are granted a non-exclusive, worldwide, non- transferable and royalty-free limited license under Meta's intellectual property or other rights owned by Meta embodied in the Llama Materials to use, reproduce, distribute, copy, create derivative works of, and make modifications to the Llama Materials. b. Redistribution and Use. i. If you distribute or make the Llama Materials, or any derivative works thereof, available to a third party, you shall provide a copy of this Agreement to such third party. ii. 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If, on the Llama 2 version release date, the monthly active users of the products or services made available by or for Licensee, or Licensee's affiliates, is greater than 700 million monthly active users in the preceding calendar month, you must request a license from Meta, which Meta may grant to you in its sole discretion, and you are not authorized to exercise any of the rights under this Agreement unless or until Meta otherwise expressly grants you such rights. 3. Disclaimer of Warranty. UNLESS REQUIRED BY APPLICABLE LAW, THE LLAMA MATERIALS AND ANY OUTPUT AND RESULTS THEREFROM ARE PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING, WITHOUT LIMITATION, ANY WARRANTIES OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE. 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This model is a clone of `microsoft/Phi-4-multimodal-instruct` model. The changes in this repo, as compared to the original, has an optimized version of RoPE cached Embedding layer. This change can be found Phi4MMLongRoPEScaledRotaryEmbedding class in `modelingphi4mm.py` file.

This model was created by applying Quark with calibration samples from Pile dataset. - Quantized Layers: All linear layers excluding "lmhead" - Weight: Auto Mixed Precision quantized by Quark, each weight has either quantization scheme in candidates of - FP8 symmetric per-tensor - OCP Microscaling (MX) FP4 - Activation: Auto Mixed Precision quantized by Quark, each activation input has the same quantization scheme with weight, i.e., in candidates of - FP8 symmetric per-tensor - OCP Microscaling (MX) FP4 - KV Cache: FP8 symmetric per-tensor 1. Download and install Quark 2. [TODO] We will provide example script(s) to run auto mixed precision (AMP) quantizations later. The Quark quantized Auto Mixed Precision (AMP) models are now supported to be easily deployed in vLLM backend (vLLM-compatible). The quantization evaluation results are conducted in pseudo-quantization mode, which may slightly differ from the actual quantized inference accuracy. These results are provided for reference only. | Quant scheme | arc challenge (↑) (acc) | | gsm8k (↑) (strict-match) | | mmlu (↑) (acc) | | winogrande (↑) (acc) | | |--------------|-----------------------------|-------|-----------------------------|-------|-------------------|-------|--------------------------|-------| | | absolute value | recovery rate | absolute value | recovery rate | absolute value | recovery rate | absolute value | recovery rate | | FP16 | 0.5290 | 100.0% | 0.5049 | 100.0% | 0.6110 | 100.0% | 0.7490 | 100.0% | | FP8 | 0.5265 | 99.5% | 0.5262 | 104.2% | 0.6107 | 100.0% | 0.7451 | 99.5% | | AMP | 0.5273 | 99.7% | 0.5125 | 101.5% | 0.6007 | 98.3% | 0.7324 | 97.8% | | MXFP4 | 0.5094 | 96.3% | 0.4572 | 90.6% | 0.5869 | 96.1% | 0.7316 | 97.7% | Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved. Llama 2 is licensed under the LLAMA 2 Community License, Copyright (c) Meta Platforms, Inc. All Rights Reserved.

This model is a fine-tuned version of meta-llama/Llama-3.2-1B-Instruct on the JunxiongWang/sftdatasetv3, the amd/OpenMathInstruct-2ZebraLlama2M, the amd/ZebraLlamaOpenThoughts-114k-math, the amd/OpenR1-Math-220K and the amd/ZebraLlamaChatQA2-Long-SFTlongsftQA datasets. It achieves the following results on the evaluation set: - Loss: 1436.5125 The following hyperparameters were used during training: - learningrate: 6e-05 - trainbatchsize: 4 - evalbatchsize: 2 - seed: 42 - distributedtype: multi-GPU - numdevices: 8 - totaltrainbatchsize: 32 - totalevalbatchsize: 16 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lrschedulertype: cosine - lrschedulerwarmupratio: 0.01 - numepochs: 1 | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:-----:|:---------------:| | 1522.4293 | 1.0 | 38873 | 1436.5125 | - Transformers 4.43.1 - Pytorch 2.7.0a0+git6374332 - Datasets 2.20.0 - Tokenizers 0.19.1

AMD Hummingbird image-to-video Model ⚡️ In this work, we present AMD Hummingbird-I2V, a compact and efficient diffusion-based I2V model designed for high-quality video synthesis under limited computational budgets. Hummingbird-I2V adopts a lightweight U-Net architecture with 0.9B parameters and a novel two-stage training strategy guided by reward-based feedback, resulting in substantial improvements in inference speed, model efficiency, and visual quality. To further improve output resolution with minimal overhead, we introduce a super-resolution module at the end of the pipeline. Additionally, we leverage ReNeg, an AMD proposed reward-guided framework for learning negative embeddings via gradient descent, to further boost visual quality. As a result, Hummingbird-I2V can generate high-quality 4K video in just 11 seconds with 16 inference steps on an AMD Radeon™ RX 7900 XTX GPU. Quantitative results on the VBench-I2V benchmark show that Hummingbird-I2V achieves state-of-the-art performance among U-Net-based diffusion models and competitive results compared to significantly larger DiT-based models. We provide a detailed analysis of the model architecture, training methodology, and benchmark performance. table { width: auto; border-collapse: collapse; margin: 0 auto; } th, td { border: 1px solid #ddd; text-align: center; padding: 0; vertical-align: middle; width: 256px; } img { width: 384px; height: 240px; object-fit: cover; margin: 0 !important; padding: 0 !important; display: block; } .i2vtrainingpipeline { width: 100%; max-width: 1200px; height: auto; object-fit: contain; margin: 0 auto; }

Base Model: https://huggingface.co/aigdat/Qwen2-7B-Instructquantizedint4bfloat16cpu

amd/Exaone-3.5-2.4B-instruct-onnx-ryzenai-hybrid - ## Introduction This model was prepared using the AMD Quark Quantization tool, followed by necessary post-processing. Model generated using Ryzen AI 1.6.0. Compiled ops for 3K context length support located in `ddplugins`. The `ddplugins` directory must be one level above the root model directory to be properly found.