README.md

---
language:
- en
license: mit
base_model:
- mistralai/Mistral-7B-v0.1
datasets:
- argilla/ultrafeedback-binarized-preferences-cleaned
pipeline_tag: text-generation
model-index:
- name: Mistral-ORPO-β
  results:
  # AI2 Reasoning Challenge (25-Shot)
  - task: 
      type: text-generation
      name: Text Generation
    dataset:
      name: AI2 Reasoning Challenge (25-Shot)
      type: ai2_arc
      config: ARC-Challenge
      split: test
      args:
        num_few_shot: 25
    metrics:
       - type: acc_norm
         name: normalized accuracy
         value: 61.18
    source:
      name: Open LLM Leaderboard
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=kaist-ai%2Fmistral-orpo-beta

  # HellaSwag (10-shot)
  - task: 
      type: text-generation
      name: Text Generation
    dataset:
      name: HellaSwag (10-Shot)
      type: hellaswag
      split: validation
      args:
        num_few_shot: 10
    metrics:
       - type: acc_norm
         name: normalized accuracy
         value: 84.03
    source:
      name: Open LLM Leaderboard
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=kaist-ai%2Fmistral-orpo-beta

  # TruthfulQA (0-shot)
  - task: 
      type: text-generation
      name: Text Generation
    dataset:
      name: TruthfulQA (0-shot)
      type: truthful_qa
      config: multiple_choice
      split: validation
      args:
        num_few_shot: 0
    metrics:
       - type: mc2
         value: 47.69
    source:
      name: Open LLM Leaderboard
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=kaist-ai%2Fmistral-orpo-beta

  # GSM8k (5-shot)
  - task: 
      type: text-generation
      name: Text Generation
    dataset:
      name: GSM8k (5-shot)
      type: gsm8k
      config: main
      split: test
      args:
        num_few_shot: 5
    metrics:
       - type: acc
         name: accuracy
         value: 39.8
    source:
      name: Open LLM Leaderboard
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=kaist-ai%2Fmistral-orpo-beta

  # MMLU (5-Shot)
  - task: 
      type: text-generation
      name: Text Generation
    dataset:
      name: MMLU (5-Shot)
      type: cais/mmlu
      config: all
      split: test
      args:
        num_few_shot: 5
    metrics:
       - type: acc
         name: accuracy
         value: 63.26
    source:
      name: Open LLM Leaderboard
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=kaist-ai%2Fmistral-orpo-beta

  # Winogrande (5-shot)
  - task: 
      type: text-generation
      name: Text Generation
    dataset:
      name: Winogrande (5-shot)
      type: winogrande
      config: winogrande_xl
      split: validation
      args:
        num_few_shot: 5
    metrics:
       - type: acc
         name: accuracy
         value: 79.24
    source:
      name: Open LLM Leaderboard
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=kaist-ai%2Fmistral-orpo-beta
  - task:
      type: text-generation
    dataset:
      name: AlpacaEval 1
      type: AlpacaEval
    metrics:
    - type: AlpacaEval 1.0
      value: 91.16%
      name: Win Rate
    source:
      url: https://tatsu-lab.github.io/alpaca_eval/
      name: Leaderboard
  - task:
      type: text-generation
    dataset:
      name: AlpacaEval 2
      type: AlpacaEval
    metrics:
    - type: AlpacaEval 2.0
      value: 12.57%
      name: Win Rate
    source:
      url: https://tatsu-lab.github.io/alpaca_eval/
      name: Leaderboard
  - task:
      type: text-generation
    dataset:
      name: MT-Bench
      type: MT-Bench
    metrics:
    - type: MT-Bench
      value: 7.322
      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-beta

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.

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](https://huggingface.co/bartowski/mistral-orpo-beta-GGUF/blob/main/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](https://huggingface.co/bartowski/mistral-orpo-beta-GGUF/blob/main/mistral-orpo-beta-Q6_K.gguf) | Q6_K | 5.94GB | Very high quality, near perfect, *recommended*. |
| [mistral-orpo-beta-Q5_K_M.gguf](https://huggingface.co/bartowski/mistral-orpo-beta-GGUF/blob/main/mistral-orpo-beta-Q5_K_M.gguf) | Q5_K_M | 5.13GB | High quality, very usable. |
| [mistral-orpo-beta-Q5_K_S.gguf](https://huggingface.co/bartowski/mistral-orpo-beta-GGUF/blob/main/mistral-orpo-beta-Q5_K_S.gguf) | Q5_K_S | 4.99GB | High quality, very usable. |
| [mistral-orpo-beta-Q5_0.gguf](https://huggingface.co/bartowski/mistral-orpo-beta-GGUF/blob/main/mistral-orpo-beta-Q5_0.gguf) | Q5_0 | 4.99GB | High quality, older format, generally not recommended. |
| [mistral-orpo-beta-Q4_K_M.gguf](https://huggingface.co/bartowski/mistral-orpo-beta-GGUF/blob/main/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](https://huggingface.co/bartowski/mistral-orpo-beta-GGUF/blob/main/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](https://huggingface.co/bartowski/mistral-orpo-beta-GGUF/blob/main/mistral-orpo-beta-Q4_0.gguf) | Q4_0 | 4.10GB | Decent quality, older format, generally not recommended. |
| [mistral-orpo-beta-Q3_K_L.gguf](https://huggingface.co/bartowski/mistral-orpo-beta-GGUF/blob/main/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](https://huggingface.co/bartowski/mistral-orpo-beta-GGUF/blob/main/mistral-orpo-beta-Q3_K_M.gguf) | Q3_K_M | 3.51GB | Even lower quality. |
| [mistral-orpo-beta-Q3_K_S.gguf](https://huggingface.co/bartowski/mistral-orpo-beta-GGUF/blob/main/mistral-orpo-beta-Q3_K_S.gguf) | Q3_K_S | 3.16GB | Low quality, not recommended. |
| [mistral-orpo-beta-Q2_K.gguf](https://huggingface.co/bartowski/mistral-orpo-beta-GGUF/blob/main/mistral-orpo-beta-Q2_K.gguf) | Q2_K | 2.71GB | Extremely low quality, *not* recommended.

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