README.md

---
language:
- en
license: mit
base_model:
- mistralai/Mistral-7B-v0.1
datasets:
- argilla/distilabel-capybara-dpo-7k-binarized
pipeline_tag: text-generation
model-index:
- name: Mistral-ORPO-Capybara-7k
  results:
  - task:
      type: text-generation
    dataset:
      name: AlpacaEval 2 (LC)
      type: AlpacaEval
    metrics:
    - type: AlpacaEval 2.0
      value: 15.88%
      name: Win Rate
    source:
      url: https://tatsu-lab.github.io/alpaca_eval/
      name: self-reported
  - task:
      type: text-generation
    dataset:
      name: MT-Bench
      type: MT-Bench
    metrics:
    - type: MT-Bench
      value: 7.444
      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-capybara-7k

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-capybara-7k

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

| Filename | Quant type | File Size | Description |
| -------- | ---------- | --------- | ----------- |
| [mistral-orpo-capybara-7k-Q8_0.gguf](https://huggingface.co/bartowski/mistral-orpo-capybara-7k-GGUF/blob/main/mistral-orpo-capybara-7k-Q8_0.gguf) | Q8_0 | 7.69GB | Extremely high quality, generally unneeded but max available quant. |
| [mistral-orpo-capybara-7k-Q6_K.gguf](https://huggingface.co/bartowski/mistral-orpo-capybara-7k-GGUF/blob/main/mistral-orpo-capybara-7k-Q6_K.gguf) | Q6_K | 5.94GB | Very high quality, near perfect, *recommended*. |
| [mistral-orpo-capybara-7k-Q5_K_M.gguf](https://huggingface.co/bartowski/mistral-orpo-capybara-7k-GGUF/blob/main/mistral-orpo-capybara-7k-Q5_K_M.gguf) | Q5_K_M | 5.13GB | High quality, very usable. |
| [mistral-orpo-capybara-7k-Q5_K_S.gguf](https://huggingface.co/bartowski/mistral-orpo-capybara-7k-GGUF/blob/main/mistral-orpo-capybara-7k-Q5_K_S.gguf) | Q5_K_S | 4.99GB | High quality, very usable. |
| [mistral-orpo-capybara-7k-Q5_0.gguf](https://huggingface.co/bartowski/mistral-orpo-capybara-7k-GGUF/blob/main/mistral-orpo-capybara-7k-Q5_0.gguf) | Q5_0 | 4.99GB | High quality, older format, generally not recommended. |
| [mistral-orpo-capybara-7k-Q4_K_M.gguf](https://huggingface.co/bartowski/mistral-orpo-capybara-7k-GGUF/blob/main/mistral-orpo-capybara-7k-Q4_K_M.gguf) | Q4_K_M | 4.36GB | Good quality, similar to 4.25 bpw. |
| [mistral-orpo-capybara-7k-Q4_K_S.gguf](https://huggingface.co/bartowski/mistral-orpo-capybara-7k-GGUF/blob/main/mistral-orpo-capybara-7k-Q4_K_S.gguf) | Q4_K_S | 4.14GB | Slightly lower quality with small space savings. |
| [mistral-orpo-capybara-7k-IQ4_NL.gguf](https://huggingface.co/bartowski/mistral-orpo-capybara-7k-GGUF/blob/main/mistral-orpo-capybara-7k-IQ4_NL.gguf) | IQ4_NL | 4.15GB | Good quality, similar to Q4_K_S, new method of quanting, |
| [mistral-orpo-capybara-7k-IQ4_XS.gguf](https://huggingface.co/bartowski/mistral-orpo-capybara-7k-GGUF/blob/main/mistral-orpo-capybara-7k-IQ4_XS.gguf) | IQ4_XS | 3.94GB | Decent quality, new method with similar performance to Q4. |
| [mistral-orpo-capybara-7k-Q4_0.gguf](https://huggingface.co/bartowski/mistral-orpo-capybara-7k-GGUF/blob/main/mistral-orpo-capybara-7k-Q4_0.gguf) | Q4_0 | 4.10GB | Decent quality, older format, generally not recommended. |
| [mistral-orpo-capybara-7k-IQ3_M.gguf](https://huggingface.co/bartowski/mistral-orpo-capybara-7k-GGUF/blob/main/mistral-orpo-capybara-7k-IQ3_M.gguf) | IQ3_M | 3.28GB | Medium-low quality, new method with decent performance. |
| [mistral-orpo-capybara-7k-IQ3_S.gguf](https://huggingface.co/bartowski/mistral-orpo-capybara-7k-GGUF/blob/main/mistral-orpo-capybara-7k-IQ3_S.gguf) | IQ3_S | 3.18GB | Lower quality, new method with decent performance, recommended over Q3 quants. |
| [mistral-orpo-capybara-7k-Q3_K_L.gguf](https://huggingface.co/bartowski/mistral-orpo-capybara-7k-GGUF/blob/main/mistral-orpo-capybara-7k-Q3_K_L.gguf) | Q3_K_L | 3.82GB | Lower quality but usable, good for low RAM availability. |
| [mistral-orpo-capybara-7k-Q3_K_M.gguf](https://huggingface.co/bartowski/mistral-orpo-capybara-7k-GGUF/blob/main/mistral-orpo-capybara-7k-Q3_K_M.gguf) | Q3_K_M | 3.51GB | Even lower quality. |
| [mistral-orpo-capybara-7k-Q3_K_S.gguf](https://huggingface.co/bartowski/mistral-orpo-capybara-7k-GGUF/blob/main/mistral-orpo-capybara-7k-Q3_K_S.gguf) | Q3_K_S | 3.16GB | Low quality, not recommended. |
| [mistral-orpo-capybara-7k-Q2_K.gguf](https://huggingface.co/bartowski/mistral-orpo-capybara-7k-GGUF/blob/main/mistral-orpo-capybara-7k-Q2_K.gguf) | Q2_K | 2.71GB | Extremely low quality, *not* recommended.

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