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# Mistral-7B-Instruct-v0.2-GGUF

## Original Model

[mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2)

## Run with LlamaEdge

- LlamaEdge version: [v0.2.8](https://github.com/second-state/LlamaEdge/releases/tag/0.2.8) and above

- Prompt template

  - Prompt type: `mistral-instruct`

  - Prompt string

    ```text
    <s>[INST] {prompt} [/INST]
    ```

- Run as LlamaEdge service

  ```bash
  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Mistral-7B-Instruct-v0.2-Q5_K_M.gguf llama-api-server.wasm -p mistral-instruct
  ```

- Run as LlamaEdge command app

  ```bash
  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Mistral-7B-Instruct-v0.2-Q5_K_M.gguf llama-chat.wasm -p mistral-instruct
  ```

## Quantized GGUF Models

| Name | Quant method | Bits | Size | Use case |
| ---- | ---- | ---- | ---- | ----- |
| [Mistral-7B-Instruct-v0.2-Q2_K.gguf](https://huggingface.co/second-state/Mistral-7B-Instruct-v0.2-GGUF/blob/main/Mistral-7B-Instruct-v0.2-Q2_K.gguf)     | Q2_K   | 2 | 3.08 GB| smallest, significant quality loss - not recommended for most purposes |
| [Mistral-7B-Instruct-v0.2-Q3_K_L.gguf](https://huggingface.co/second-state/Mistral-7B-Instruct-v0.2-GGUF/blob/main/Mistral-7B-Instruct-v0.2-Q3_K_L.gguf) | Q3_K_L | 3 | 3.82 GB| small, substantial quality loss |
| [Mistral-7B-Instruct-v0.2-Q3_K_M.gguf](https://huggingface.co/second-state/Mistral-7B-Instruct-v0.2-GGUF/blob/main/Mistral-7B-Instruct-v0.2-Q3_K_M.gguf) | Q3_K_M | 3 | 3.52 GB| very small, high quality loss |
| [Mistral-7B-Instruct-v0.2-Q3_K_S.gguf](https://huggingface.co/second-state/Mistral-7B-Instruct-v0.2-GGUF/blob/main/Mistral-7B-Instruct-v0.2-Q3_K_S.gguf) | Q3_K_S | 3 | 3.16 GB| very small, high quality loss |
| [Mistral-7B-Instruct-v0.2-Q4_0.gguf](https://huggingface.co/second-state/Mistral-7B-Instruct-v0.2-GGUF/blob/main/Mistral-7B-Instruct-v0.2-Q4_0.gguf)     | Q4_0   | 4 | 4.11 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
| [Mistral-7B-Instruct-v0.2-Q4_K_M.gguf](https://huggingface.co/second-state/Mistral-7B-Instruct-v0.2-GGUF/blob/main/Mistral-7B-Instruct-v0.2-Q4_K_M.gguf) | Q4_K_M | 4 | 4.37 GB| medium, balanced quality - recommended |
| [Mistral-7B-Instruct-v0.2-Q4_K_S.gguf](https://huggingface.co/second-state/Mistral-7B-Instruct-v0.2-GGUF/blob/main/Mistral-7B-Instruct-v0.2-Q4_K_S.gguf) | Q4_K_S | 4 | 4.14 GB| small, greater quality loss |
| [Mistral-7B-Instruct-v0.2-Q5_0.gguf](https://huggingface.co/second-state/Mistral-7B-Instruct-v0.2-GGUF/blob/main/Mistral-7B-Instruct-v0.2-Q5_0.gguf)     | Q5_0   | 5 | 5 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
| [Mistral-7B-Instruct-v0.2-Q5_K_M.gguf](https://huggingface.co/second-state/Mistral-7B-Instruct-v0.2-GGUF/blob/main/Mistral-7B-Instruct-v0.2-Q5_K_M.gguf) | Q5_K_M | 5 | 5.13 GB| large, very low quality loss - recommended |
| [Mistral-7B-Instruct-v0.2-Q5_K_S.gguf](https://huggingface.co/second-state/Mistral-7B-Instruct-v0.2-GGUF/blob/main/Mistral-7B-Instruct-v0.2-Q5_K_S.gguf) | Q5_K_S | 5 | 5 GB| large, low quality loss - recommended |
| [Mistral-7B-Instruct-v0.2-Q6_K.gguf](https://huggingface.co/second-state/Mistral-7B-Instruct-v0.2-GGUF/blob/main/Mistral-7B-Instruct-v0.2-Q6_K.gguf)     | Q6_K   | 6 | 5.94 GB| very large, extremely low quality loss |
| [Mistral-7B-Instruct-v0.2-Q8_0.gguf](https://huggingface.co/second-state/Mistral-7B-Instruct-v0.2-GGUF/blob/main/Mistral-7B-Instruct-v0.2-Q8_0.gguf)     | Q8_0   | 8 | 7.7 GB| very large, extremely low quality loss - not recommended |

{"license": "apache-2.0", "library_name": "transformers", "tags": ["finetuned"], "model_name": "Mistral 7B Instruct v0.2", "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "inference": false, "model_creator": "mistralai", "model_type": "mistral", "pipeline_tag": "text-generation", "quantized_by": "Second State Inc."}
transformers gguf finetuned text-generation base_model:mistralai/Mistral-7B-Instruct-v0.2 license:apache-2.0 region:us