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Llamacpp quants
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metadata
language:
  - en
license: mit
base_model:
  - mistralai/Mistral-7B-v0.1
datasets:
  - HuggingFaceH4/ultrafeedback_binarized
pipeline_tag: text-generation
model-index:
  - name: Mistral-ORPO-⍺
    results:
      - task:
          type: text-generation
        dataset:
          name: AlpacaEval 1
          type: AlpacaEval
        metrics:
          - type: AlpacaEval 1.0
            value: 87.92%
            name: Win Rate
        source:
          url: https://github.com/tatsu-lab/alpaca_eval
          name: self-reported
      - task:
          type: text-generation
        dataset:
          name: AlpacaEval 2
          type: AlpacaEval
        metrics:
          - type: AlpacaEval 2.0
            value: 11.33%
            name: Win Rate
        source:
          url: https://github.com/tatsu-lab/alpaca_eval
          name: self-reported
      - task:
          type: text-generation
        dataset:
          name: MT-Bench
          type: MT-Bench
        metrics:
          - type: MT-Bench
            value: 7.23
            name: Score
        source:
          url: https://github.com/lm-sys/FastChat/blob/main/fastchat/llm_judge/
          name: self-reported
quantized_by: bartowski

Llamacpp Quantizations of mistral-orpo-alpha

Using llama.cpp release b2440 for quantization.

Original model: https://huggingface.co/kaist-ai/mistral-orpo-alpha

Download a file (not the whole branch) from below:

Filename Quant type File Size Description
mistral-orpo-alpha-Q8_0.gguf Q8_0 7.69GB Extremely high quality, generally unneeded but max available quant.
mistral-orpo-alpha-Q6_K.gguf Q6_K 5.94GB Very high quality, near perfect, recommended.
mistral-orpo-alpha-Q5_K_M.gguf Q5_K_M 5.13GB High quality, very usable.
mistral-orpo-alpha-Q5_K_S.gguf Q5_K_S 4.99GB High quality, very usable.
mistral-orpo-alpha-Q5_0.gguf Q5_0 4.99GB High quality, older format, generally not recommended.
mistral-orpo-alpha-Q4_K_M.gguf Q4_K_M 4.36GB Good quality, similar to 4.25 bpw.
mistral-orpo-alpha-Q4_K_S.gguf Q4_K_S 4.14GB Slightly lower quality with small space savings.
mistral-orpo-alpha-Q4_0.gguf Q4_0 4.10GB Decent quality, older format, generally not recommended.
mistral-orpo-alpha-Q3_K_L.gguf Q3_K_L 3.82GB Lower quality but usable, good for low RAM availability.
mistral-orpo-alpha-Q3_K_M.gguf Q3_K_M 3.51GB Even lower quality.
mistral-orpo-alpha-Q3_K_S.gguf Q3_K_S 3.16GB Low quality, not recommended.
mistral-orpo-alpha-Q2_K.gguf Q2_K 2.71GB Extremely low quality, not recommended.

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