Llamacpp Quantizations of mistral-orpo-beta
Using llama.cpp release b2440 for quantization.
Original model: https://huggingface.co/kaist-ai/mistral-orpo-beta
Download a file (not the whole branch) from below:
Filename | Quant type | File Size | Description |
---|---|---|---|
mistral-orpo-beta-Q8_0.gguf | Q8_0 | 7.69GB | Extremely high quality, generally unneeded but max available quant. |
mistral-orpo-beta-Q6_K.gguf | Q6_K | 5.94GB | Very high quality, near perfect, recommended. |
mistral-orpo-beta-Q5_K_M.gguf | Q5_K_M | 5.13GB | High quality, very usable. |
mistral-orpo-beta-Q5_K_S.gguf | Q5_K_S | 4.99GB | High quality, very usable. |
mistral-orpo-beta-Q5_0.gguf | Q5_0 | 4.99GB | High quality, older format, generally not recommended. |
mistral-orpo-beta-Q4_K_M.gguf | Q4_K_M | 4.36GB | Good quality, similar to 4.25 bpw. |
mistral-orpo-beta-Q4_K_S.gguf | Q4_K_S | 4.14GB | Slightly lower quality with small space savings. |
mistral-orpo-beta-Q4_0.gguf | Q4_0 | 4.10GB | Decent quality, older format, generally not recommended. |
mistral-orpo-beta-Q3_K_L.gguf | Q3_K_L | 3.82GB | Lower quality but usable, good for low RAM availability. |
mistral-orpo-beta-Q3_K_M.gguf | Q3_K_M | 3.51GB | Even lower quality. |
mistral-orpo-beta-Q3_K_S.gguf | Q3_K_S | 3.16GB | Low quality, not recommended. |
mistral-orpo-beta-Q2_K.gguf | Q2_K | 2.71GB | Extremely low quality, not recommended. |
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Model tree for bartowski/mistral-orpo-beta-GGUF
Base model
mistralai/Mistral-7B-v0.1Dataset used to train bartowski/mistral-orpo-beta-GGUF
Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard61.180
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard84.030
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard47.690
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard39.800
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard63.260
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard79.240
- Win Rate on AlpacaEval 1Leaderboard91.16%
- Win Rate on AlpacaEval 2Leaderboard12.57%
- Score on MT-Benchself-reported7.322