flammenai
Mahou-1.5-mistral-nemo-12B-GGUF
Mahou-1.5-mistral-nemo-12B
Mahou is designed to provide short messages in a conversational context. It is capable of casual conversation and character roleplay. 1. Use ChatML for the Context Template. 2. Enable Instruct Mode. 3. Use the Mahou ChatML Instruct preset. 4. Use the Mahou Sampler preset. Open LLM Leaderboard Evaluation Results Detailed results can be found here | Metric |Value| |-------------------|----:| |Avg. |26.28| |IFEval (0-Shot) |67.51| |BBH (3-Shot) |36.26| |MATH Lvl 5 (4-Shot)| 5.06| |GPQA (0-shot) | 3.47| |MuSR (0-shot) |16.47| |MMLU-PRO (5-shot) |28.91|
Mahou-1.2a-mistral-7B
Mahou is our attempt to build a production-ready conversational/roleplay LLM. Future versions will be released iteratively and finetuned from flammen.ai conversational data. 1.2a is rebased and retrained to improve comphresion and coherence. 1. Use ChatML for the Context Template. 2. Turn on Instruct Mode for ChatML. 3. Use the following stopping strings: `["<", "|", "<|", "\n"]` Fine-tune a Mistral-7b model with Direct Preference Optimization - Maxime Labonne
Mahou-1.1-llama3-8B-GGUF
Mahou-1.2-llama3-8B-GGUF
Mahou-1.2b-mistral-7B-GGUF
Mahou-1.3-mistral-7B-GGUF
Mahou-1.3-llama3.1-8B
Mahou-1.3-llama3-8B-GGUF
Mahou-1.3a-mistral-7B-GGUF
Mahou-1.3-mistral-nemo-12B
Mahou-1.5-llama3.1-70B
Mahou is designed to provide short messages in a conversational context. It is capable of casual conversation and character roleplay. 1. Use ChatML for the Context Template. 2. Enable Instruct Mode. 3. Use the Mahou ChatML Instruct preset. 4. Use the Mahou Sampler preset. | Metric |Value| |-------------------|----:| |Avg. |36.04| |IFEval (0-Shot) |71.47| |BBH (3-Shot) |52.37| |MATH Lvl 5 (4-Shot)|13.14| |GPQA (0-shot) |13.87| |MuSR (0-shot) |23.71| |MMLU-PRO (5-shot) |41.66|
flammen11X-mistral-7B
Flammades-Mistral-Nemo-12B
flammen21X-mistral-7B
flammen18-mistral-7B
flammen17-mistral-7B-GGUF
Mahou-1.1-mistral-7B-GGUF
Mahou-1.3-llama3-8B
Mahou-1.5-Qwen2.5-32B
flammen15-gutenberg-DPO-v1-7B
A Mistral 7B LLM built from merging pretrained models and finetuning on Jon Durbin's Gutenberg DPO set. Flammen specializes in exceptional character roleplay, creative writing, and general intelligence Finetuned using an A100 on Google Colab. (plz give more gpu) Fine-tune a Mistral-7b model with Direct Preference Optimization - Maxime Labonne Open LLM Leaderboard Evaluation Results Detailed results can be found here | Metric |Value| |-------------------|----:| |Avg. |21.46| |IFEval (0-Shot) |47.98| |BBH (3-Shot) |32.67| |MATH Lvl 5 (4-Shot)| 6.72| |GPQA (0-shot) | 4.59| |MuSR (0-shot) |12.53| |MMLU-PRO (5-shot) |24.29|
flammen13-mistral-7B
flammen22X-mistral-7B
flammen6-mistral-7B
Mahou-1.0-llama3-8B
flammen22C-mistral-7B
Mahou-1.3a-llama3-8B
flammen13X-mistral-7B
flammen26-mistral-7B
Flammades-Mistral-7B
flammen8-mistral-7B
flammen11-mistral-7B
flammen15-mistral-7B
flammen21-mistral-7B
Mahou-1.0-mistral-7B
Mahou-1.2-phi-14B
flammen30-mistral-7B
flammen32-mistral-7B
Mahou-1.3b-llama3-8B
flammen23-mistral-7B
Mahou-1.2a-llama3-8B
Mahou is our attempt to build a production-ready conversational/roleplay LLM. Future versions will be released iteratively and finetuned from flammen.ai conversational data. 1. Use ChatML for the Context Template. 2. Turn on Instruct Mode for ChatML. 3. Use the following stopping strings: `["<", "|", "<|", "\n"]` Fine-tune a Mistral-7b model with Direct Preference Optimization - Maxime Labonne Open LLM Leaderboard Evaluation Results Detailed results can be found here | Metric |Value| |-------------------|----:| |Avg. |21.65| |IFEval (0-Shot) |50.93| |BBH (3-Shot) |28.97| |MATH Lvl 5 (4-Shot)| 7.55| |GPQA (0-shot) | 5.15| |MuSR (0-shot) | 6.02| |MMLU-PRO (5-shot) |31.30|
flammen31-mistral-7B
Mahou-1.2b-mistral-7B
Llama3.1-Flammades-70B
nbeerbower/Llama3.1-Gutenberg-Doppel-70B finetuned on flammenai/Date-DPO-NoAsterisks and jondurbin/truthy-dpo-v0.1. Open LLM Leaderboard Evaluation Results Detailed results can be found here | Metric |Value| |-------------------|----:| |Avg. |35.74| |IFEval (0-Shot) |70.58| |BBH (3-Shot) |52.55| |MATH Lvl 5 (4-Shot)|13.37| |GPQA (0-shot) |13.87| |MuSR (0-shot) |22.35| |MMLU-PRO (5-shot) |41.69|