---
license: apache-2.0
model_name: Mistral-7B-Instruct-v0.3
base_model: mistralai/Mistral-7B-Instruct-v0.3
inference: false
model_creator: mistralai
quantized_by: Second State Inc.
---

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# Mistral-7B-Instruct-v0.3-GGUF

## Original Model

[mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3)
## Run with LlamaEdge

- LlamaEdge version: [v0.11.2](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.11.2)

- Prompt template

  - Prompt type: `mistral-instruct`

  - Prompt string

    ```text
    <s>[INST] {user_message_1} [/INST]{assistant_message_1}</s>[INST] {user_message_2} [/INST]{assistant_message_2}</s>
    ```

- Context size: `32000`

- Run as LlamaEdge service

  - Chat

    ```bash
    wasmedge --dir .:. --nn-preload default:GGML:AUTO:Mistral-7B-Instruct-v0.3-Q5_K_M.gguf \
      llama-api-server.wasm \
      --prompt-template mistral-instruct \
      --ctx-size 32000 \
      --model-name Mistral-7B-Instruct-v0.3
    ```

  - Tool use

    ```bash
    wasmedge --dir .:. --nn-preload default:GGML:AUTO:Mistral-7B-Instruct-v0.3-Q5_K_M.gguf \
      llama-api-server.wasm \
      --prompt-template mistral-tool \
      --ctx-size 32000 \
      --model-name Mistral-7B-Instruct-v0.3
    ```

- Run as LlamaEdge command app

  ```bash
  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Mistral-7B-Instruct-v0.3-Q5_K_M.gguf \
    llama-chat.wasm \
    --prompt-template mistral-instruct \
    --ctx-size 32000
  ```

## Quantized GGUF Models

| Name | Quant method | Bits | Size | Use case |
| ---- | ---- | ---- | ---- | ----- |
| [Mistral-7B-Instruct-v0.3-Q2_K.gguf](https://huggingface.co/second-state/Mistral-7B-Instruct-v0.3-GGUF/blob/main/Mistral-7B-Instruct-v0.3-Q2_K.gguf)     | Q2_K   | 2 | 2.72 GB| smallest, significant quality loss - not recommended for most purposes |
| [Mistral-7B-Instruct-v0.3-Q3_K_L.gguf](https://huggingface.co/second-state/Mistral-7B-Instruct-v0.3-GGUF/blob/main/Mistral-7B-Instruct-v0.3-Q3_K_L.gguf) | Q3_K_L | 3 | 3.83 GB| small, substantial quality loss |
| [Mistral-7B-Instruct-v0.3-Q3_K_M.gguf](https://huggingface.co/second-state/Mistral-7B-Instruct-v0.3-GGUF/blob/main/Mistral-7B-Instruct-v0.3-Q3_K_M.gguf) | Q3_K_M | 3 | 3.52 GB| very small, high quality loss |
| [Mistral-7B-Instruct-v0.3-Q3_K_S.gguf](https://huggingface.co/second-state/Mistral-7B-Instruct-v0.3-GGUF/blob/main/Mistral-7B-Instruct-v0.3-Q3_K_S.gguf) | Q3_K_S | 3 | 3.17 GB| very small, high quality loss |
| [Mistral-7B-Instruct-v0.3-Q4_0.gguf](https://huggingface.co/second-state/Mistral-7B-Instruct-v0.3-GGUF/blob/main/Mistral-7B-Instruct-v0.3-Q4_0.gguf)     | Q4_0   | 4 | 4.11 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
| [Mistral-7B-Instruct-v0.3-Q4_K_M.gguf](https://huggingface.co/second-state/Mistral-7B-Instruct-v0.3-GGUF/blob/main/Mistral-7B-Instruct-v0.3-Q4_K_M.gguf) | Q4_K_M | 4 | 4.37 GB| medium, balanced quality - recommended |
| [Mistral-7B-Instruct-v0.3-Q4_K_S.gguf](https://huggingface.co/second-state/Mistral-7B-Instruct-v0.3-GGUF/blob/main/Mistral-7B-Instruct-v0.3-Q4_K_S.gguf) | Q4_K_S | 4 | 4.14 GB| small, greater quality loss |
| [Mistral-7B-Instruct-v0.3-Q5_0.gguf](https://huggingface.co/second-state/Mistral-7B-Instruct-v0.3-GGUF/blob/main/Mistral-7B-Instruct-v0.3-Q5_0.gguf)     | Q5_0   | 5 | 5 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
| [Mistral-7B-Instruct-v0.3-Q5_K_M.gguf](https://huggingface.co/second-state/Mistral-7B-Instruct-v0.3-GGUF/blob/main/Mistral-7B-Instruct-v0.3-Q5_K_M.gguf) | Q5_K_M | 5 | 5.14 GB| large, very low quality loss - recommended |
| [Mistral-7B-Instruct-v0.3-Q5_K_S.gguf](https://huggingface.co/second-state/Mistral-7B-Instruct-v0.3-GGUF/blob/main/Mistral-7B-Instruct-v0.3-Q5_K_S.gguf) | Q5_K_S | 5 | 5 GB| large, low quality loss - recommended |
| [Mistral-7B-Instruct-v0.3-Q6_K.gguf](https://huggingface.co/second-state/Mistral-7B-Instruct-v0.3-GGUF/blob/main/Mistral-7B-Instruct-v0.3-Q6_K.gguf)     | Q6_K   | 6 | 5.95 GB| very large, extremely low quality loss |
| [Mistral-7B-Instruct-v0.3-Q8_0.gguf](https://huggingface.co/second-state/Mistral-7B-Instruct-v0.3-GGUF/blob/main/Mistral-7B-Instruct-v0.3-Q8_0.gguf)     | Q8_0   | 8 | 7.7 GB| very large, extremely low quality loss - not recommended |
| [Mistral-7B-Instruct-v0.3-f16.gguf](https://huggingface.co/second-state/Mistral-7B-Instruct-v0.3-GGUF/blob/main/Mistral-7B-Instruct-v0.3-f16.gguf)     | f16   | 16 | 14.5 GB|  |

*Quantized with llama.cpp b3030.*