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--- |
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language: |
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- en |
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license: mit |
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base_model: |
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- mistralai/Mistral-7B-v0.1 |
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datasets: |
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- HuggingFaceH4/ultrafeedback_binarized |
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pipeline_tag: text-generation |
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model-index: |
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- name: Mistral-ORPO-⍺ |
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results: |
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- task: |
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type: text-generation |
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dataset: |
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name: AlpacaEval 1 |
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type: AlpacaEval |
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metrics: |
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- type: AlpacaEval 1.0 |
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value: 87.92% |
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name: Win Rate |
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source: |
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url: https://github.com/tatsu-lab/alpaca_eval |
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name: self-reported |
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- task: |
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type: text-generation |
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dataset: |
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name: AlpacaEval 2 |
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type: AlpacaEval |
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metrics: |
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- type: AlpacaEval 2.0 |
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value: 11.33% |
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name: Win Rate |
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source: |
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url: https://github.com/tatsu-lab/alpaca_eval |
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name: self-reported |
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- task: |
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type: text-generation |
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dataset: |
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name: MT-Bench |
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type: MT-Bench |
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metrics: |
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- type: MT-Bench |
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value: 7.23 |
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name: Score |
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source: |
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url: https://github.com/lm-sys/FastChat/blob/main/fastchat/llm_judge/ |
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name: self-reported |
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quantized_by: bartowski |
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--- |
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## Llamacpp Quantizations of mistral-orpo-alpha |
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Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b2440">b2440</a> for quantization. |
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Original model: https://huggingface.co/kaist-ai/mistral-orpo-alpha |
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Download a file (not the whole branch) from below: |
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| Filename | Quant type | File Size | Description | |
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| -------- | ---------- | --------- | ----------- | |
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| [mistral-orpo-alpha-Q8_0.gguf](https://huggingface.co/bartowski/mistral-orpo-alpha-GGUF/blob/main/mistral-orpo-alpha-Q8_0.gguf) | Q8_0 | 7.69GB | Extremely high quality, generally unneeded but max available quant. | |
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| [mistral-orpo-alpha-Q6_K.gguf](https://huggingface.co/bartowski/mistral-orpo-alpha-GGUF/blob/main/mistral-orpo-alpha-Q6_K.gguf) | Q6_K | 5.94GB | Very high quality, near perfect, *recommended*. | |
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| [mistral-orpo-alpha-Q5_K_M.gguf](https://huggingface.co/bartowski/mistral-orpo-alpha-GGUF/blob/main/mistral-orpo-alpha-Q5_K_M.gguf) | Q5_K_M | 5.13GB | High quality, very usable. | |
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| [mistral-orpo-alpha-Q5_K_S.gguf](https://huggingface.co/bartowski/mistral-orpo-alpha-GGUF/blob/main/mistral-orpo-alpha-Q5_K_S.gguf) | Q5_K_S | 4.99GB | High quality, very usable. | |
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| [mistral-orpo-alpha-Q5_0.gguf](https://huggingface.co/bartowski/mistral-orpo-alpha-GGUF/blob/main/mistral-orpo-alpha-Q5_0.gguf) | Q5_0 | 4.99GB | High quality, older format, generally not recommended. | |
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| [mistral-orpo-alpha-Q4_K_M.gguf](https://huggingface.co/bartowski/mistral-orpo-alpha-GGUF/blob/main/mistral-orpo-alpha-Q4_K_M.gguf) | Q4_K_M | 4.36GB | Good quality, similar to 4.25 bpw. | |
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| [mistral-orpo-alpha-Q4_K_S.gguf](https://huggingface.co/bartowski/mistral-orpo-alpha-GGUF/blob/main/mistral-orpo-alpha-Q4_K_S.gguf) | Q4_K_S | 4.14GB | Slightly lower quality with small space savings. | |
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| [mistral-orpo-alpha-Q4_0.gguf](https://huggingface.co/bartowski/mistral-orpo-alpha-GGUF/blob/main/mistral-orpo-alpha-Q4_0.gguf) | Q4_0 | 4.10GB | Decent quality, older format, generally not recommended. | |
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| [mistral-orpo-alpha-Q3_K_L.gguf](https://huggingface.co/bartowski/mistral-orpo-alpha-GGUF/blob/main/mistral-orpo-alpha-Q3_K_L.gguf) | Q3_K_L | 3.82GB | Lower quality but usable, good for low RAM availability. | |
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| [mistral-orpo-alpha-Q3_K_M.gguf](https://huggingface.co/bartowski/mistral-orpo-alpha-GGUF/blob/main/mistral-orpo-alpha-Q3_K_M.gguf) | Q3_K_M | 3.51GB | Even lower quality. | |
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| [mistral-orpo-alpha-Q3_K_S.gguf](https://huggingface.co/bartowski/mistral-orpo-alpha-GGUF/blob/main/mistral-orpo-alpha-Q3_K_S.gguf) | Q3_K_S | 3.16GB | Low quality, not recommended. | |
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| [mistral-orpo-alpha-Q2_K.gguf](https://huggingface.co/bartowski/mistral-orpo-alpha-GGUF/blob/main/mistral-orpo-alpha-Q2_K.gguf) | Q2_K | 2.71GB | Extremely low quality, *not* recommended. |
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Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski |
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