---
license: other
license_name: mnpl
license_link: https://mistral.ai/licences/MNPL-0.1.md
model_name: Qwen1.5-110B-Chat
arxiv: 2307.09288
base_model: mistralai/Codestral-22B-v0.1
inference: false
model_creator: mistralai
quantized_by: Second State Inc.
tags:
- code
language:
- code
---

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# Codestral-22B-v0.1-GGUF

## Original Model

[mistralai/Codestral-22B-v0.1](https://huggingface.co./mistralai/Codestral-22B-v0.1)
## 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] {prompt} [/INST]
    ```

- Context size: `32000`

- Run as LlamaEdge service

  ```bash
  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Codestral-22B-v0.1-hf-Q5_K_M.gguf \
    llama-api-server.wasm \
    --prompt-template mistral-instruct \
    --ctx-size 32000 \
    --model-name Codestral-22B-v0.1
  ```

- Run as LlamaEdge command app

  ```bash
  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Codestral-22B-v0.1-hf-Q5_K_M.gguf \
    llama-chat.wasm \
    --prompt-template mistral-instruct \
    --ctx-size 32000
  ```

## Quantized GGUF Models

| Name | Quant method | Bits | Size | Use case |
| ---- | ---- | ---- | ---- | ----- |
| [Codestral-22B-v0.1-hf-Q2_K.gguf](https://huggingface.co./second-state/Codestral-22B-v0.1-GGUF/blob/main/Codestral-22B-v0.1-hf-Q2_K.gguf)     | Q2_K   | 2 | 8.27 GB| smallest, significant quality loss - not recommended for most purposes |
| [Codestral-22B-v0.1-hf-Q3_K_L.gguf](https://huggingface.co./second-state/Codestral-22B-v0.1-GGUF/blob/main/Codestral-22B-v0.1-hf-Q3_K_L.gguf) | Q3_K_L | 3 | 11.7 GB| small, substantial quality loss |
| [Codestral-22B-v0.1-hf-Q3_K_M.gguf](https://huggingface.co./second-state/Codestral-22B-v0.1-GGUF/blob/main/Codestral-22B-v0.1-hf-Q3_K_M.gguf) | Q3_K_M | 3 | 10.8 GB| very small, high quality loss |
| [Codestral-22B-v0.1-hf-Q3_K_S.gguf](https://huggingface.co./second-state/Codestral-22B-v0.1-GGUF/blob/main/Codestral-22B-v0.1-hf-Q3_K_S.gguf) | Q3_K_S | 3 | 9.64 GB| very small, high quality loss |
| [Codestral-22B-v0.1-hf-Q4_0.gguf](https://huggingface.co./second-state/Codestral-22B-v0.1-GGUF/blob/main/Codestral-22B-v0.1-hf-Q4_0.gguf)     | Q4_0   | 4 | 12.6 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
| [Codestral-22B-v0.1-hf-Q4_K_M.gguf](https://huggingface.co./second-state/Codestral-22B-v0.1-GGUF/blob/main/Codestral-22B-v0.1-hf-Q4_K_M.gguf) | Q4_K_M | 4 | 13.3 GB| medium, balanced quality - recommended |
| [Codestral-22B-v0.1-hf-Q4_K_S.gguf](https://huggingface.co./second-state/Codestral-22B-v0.1-GGUF/blob/main/Codestral-22B-v0.1-hf-Q4_K_S.gguf) | Q4_K_S | 4 | 12.7 GB| small, greater quality loss |
| [Codestral-22B-v0.1-hf-Q5_0.gguf](https://huggingface.co./second-state/Codestral-22B-v0.1-GGUF/blob/main/Codestral-22B-v0.1-hf-Q5_0.gguf)     | Q5_0   | 5 | 15.3 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
| [Codestral-22B-v0.1-hf-Q5_K_M.gguf](https://huggingface.co./second-state/Codestral-22B-v0.1-GGUF/blob/main/Codestral-22B-v0.1-hf-Q5_K_M.gguf) | Q5_K_M | 5 | 15.7 GB| large, very low quality loss - recommended |
| [Codestral-22B-v0.1-hf-Q5_K_S.gguf](https://huggingface.co./second-state/Codestral-22B-v0.1-GGUF/blob/main/Codestral-22B-v0.1-hf-Q5_K_S.gguf) | Q5_K_S | 5 | 15.3 GB| large, low quality loss - recommended |
| [Codestral-22B-v0.1-hf-Q6_K.gguf](https://huggingface.co./second-state/Codestral-22B-v0.1-GGUF/blob/main/Codestral-22B-v0.1-hf-Q6_K.gguf)     | Q6_K   | 6 | 18.3 GB| very large, extremely low quality loss |
| [Codestral-22B-v0.1-hf-Q8_0.gguf](https://huggingface.co./second-state/Codestral-22B-v0.1-GGUF/blob/main/Codestral-22B-v0.1-hf-Q8_0.gguf)     | Q8_0   | 8 | 23.6 GB| very large, extremely low quality loss - not recommended |
| [Codestral-22B-v0.1-hf-f16.gguf](https://huggingface.co./second-state/Codestral-22B-v0.1-GGUF/blob/main/Codestral-22B-v0.1-hf-f16.gguf)     | f16   | 16 | 44.5 GB|  |

*Quantized with llama.cpp b3030.*