DreadPoor

DreadPoor/Famino-12B-ModelStock-Q4KM-GGUF This model was converted to GGUF format from `DreadPoor/Famino-12B-ModelStock` using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model. Use with llama.cpp Install llama.cpp through brew (works on Mac and Linux) Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well. Step 2: Move into the llama.cpp folder and build it with `LLAMACURL=1` flag along with other hardware-specific flags (for ex: LLAMACUDA=1 for Nvidia GPUs on Linux).

DreadPoor/Famino-12B-ModelStock-Q40-GGUF This model was converted to GGUF format from `DreadPoor/Famino-12B-ModelStock` using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model. Use with llama.cpp Install llama.cpp through brew (works on Mac and Linux) Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well. Step 2: Move into the llama.cpp folder and build it with `LLAMACURL=1` flag along with other hardware-specific flags (for ex: LLAMACUDA=1 for Nvidia GPUs on Linux).

DreadPoor/Famino-12B-ModelStock-Q6K-GGUF This model was converted to GGUF format from `DreadPoor/Famino-12B-ModelStock` using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model. Use with llama.cpp Install llama.cpp through brew (works on Mac and Linux) Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well. Step 2: Move into the llama.cpp folder and build it with `LLAMACURL=1` flag along with other hardware-specific flags (for ex: LLAMACUDA=1 for Nvidia GPUs on Linux).

Krix-TEST is a merge of the following models using mergekit: DreadPoor/IngredientA-TEST DreadPoor/IngredientB-TEST DreadPoor/IngredientC-TEST DreadPoor/IngredientD-TEST

This is a merge of pre-trained language models created using mergekit. This model was merged using the Model Stock merge method using Delta-Vector/Francois-PE-V2-Huali-12B as a base. The following models were included in the merge: Delta-Vector/Rei-V3-KTO-12B yamatazen/EtherealAurora-12B-v2 redrix/GodSlayer-12B-ABYSS yamatazen/BlueLight-12B The following YAML configuration was used to produce this model:

TESTing is a merge of the following models using LazyMergekit:

License: Apache 2.0, Library Name: Transformers, Tags:

License: Apache 2.0, Library Name: Transformers, Tags:

License: CC BY-NC 4.0, Library Name: Transformers, Tags:

DreadPoor/BaeZel-8B-LINEAR-Q4KM-GGUF This model was converted to GGUF format from `DreadPoor/BaeZel-8B-LINEAR` using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model. Use with llama.cpp Install llama.cpp through brew (works on Mac and Linux) Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well. Step 2: Move into the llama.cpp folder and build it with `LLAMACURL=1` flag along with other hardware-specific flags (for ex: LLAMACUDA=1 for Nvidia GPUs on Linux).

Base model: DreadPoor BaeZel 1.1 8B Model Stock, FuseAI FuseChat Llama 3.1 8B SFT.

Base model: BoltMonkey DreadMix, DreadPoor ichor 1.1 8B Model Stock.

Base model: nbeerbower/Gemma2-Gutenberg-Doppel-9B, tannedbum/Ellaria-9B.

Base model: DreadPoor LemonP ALT 8B Model Stock, DreadPoor Heart Stolen 8B Model Stock.

This is a LoRA extracted from a language model. It was extracted using mergekit. This LoRA adapter was extracted from DreadPoor/BaeZel-8B-LINEAR and uses NousResearch/Meta-Llama-3.1-8B-Instruct as a base. The following command was used to extract this LoRA adapter:

This is a merge of pre-trained language models created using mergekit. This model was merged using the Model Stock merge method using yamatazen/EtherealAurora-12B-v2 as a base. The following models were included in the merge: LatitudeGames/Wayfarer-12B TheDrummer/Rocinante-12B-v1.1 nbeerbower/Lyra4-Gutenberg-12B MarinaraSpaghetti/NemoMix-Unleashed-12B cognitivecomputations/dolphin-2.9.3-mistral-nemo-12b nothingiisreal/MN-12B-Celeste-V1.9 anthracite-org/magnum-v2-12b The following YAML configuration was used to produce this model: