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---
inference: false
license: other
license_name: mnpl
license_link: https://mistral.ai/licences/MNPL-0.1.md
tags:
- code
language:
- code
quantized_by: bartowski
pipeline_tag: text-generation
---
## Exllama v2 Quantizations of Codestral-22B-v0.1
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.1.1">turboderp's ExLlamaV2 v0.1.1</a> for quantization.
<b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b>
Each branch contains an individual bits per weight, with the main one containing only the meaurement.json for further conversions.
Original model: https://huggingface.co/mistral-community/Codestral-22B-v0.1
## Prompt format
No chat template specified so default is used. This may be incorrect, check original model card for details.
```
<s> [INST] <<SYS>>
{system_prompt}
<</SYS>>
{prompt} [/INST] </s>
```
## Available sizes
| Branch | Bits | lm_head bits | VRAM (4k) | VRAM (16k) | VRAM (32k) | Description |
| ------ | ---- | ------------ | ---- | ---- | ---- | ----------- |
| [8_0](https://huggingface.co/bartowski/Codestral-22B-v0.1-exl2/tree/8_0) | 8.0 | 8.0 | 23.5 GB | 26.0 GB | 29.5 GB | Near unquantized performance, max quality ExLlamaV2 can create. |
| [6_5](https://huggingface.co/bartowski/Codestral-22B-v0.1-exl2/tree/6_5) | 6.5 | 8.0 | 19.4 GB | 21.9 GB | 25.4 GB | Near unquantized performance at vastly reduced size, **recommended**. |
| [5_0](https://huggingface.co/bartowski/Codestral-22B-v0.1-exl2/tree/5_0) | 5.0 | 6.0 | 15.5 GB | 18.0 GB | 21.5 GB | Smaller size, lower quality, still very high performance, **recommended**. |
| [4_25](https://huggingface.co/bartowski/Codestral-22B-v0.1-exl2/tree/4_25) | 4.25 | 6.0 | 13.3 GB | 15.8 GB | 19.3 GB | GPTQ equivalent bits per weight, slightly higher quality. |
| [3_5](https://huggingface.co/bartowski/Codestral-22B-v0.1-exl2/tree/3_5) | 3.5 | 6.0 | 11.6 GB | 14.1 GB | 17.6 GB | Lower quality, only use if you have to. |
| [3_0](https://huggingface.co/bartowski/Codestral-22B-v0.1-exl2/tree/3_0) | 3.0 | 6.0 | 9.8 GB | 12.3 GB | 15.8 GB | Very low quality. Usable on 12GB with low context or 16gb with 32k. |
## Download instructions
With git:
```shell
git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/Codestral-22B-v0.1-exl2 Codestral-22B-v0.1-exl2-6_5
```
With huggingface hub (credit to TheBloke for instructions):
```shell
pip3 install huggingface-hub
```
To download a specific branch, use the `--revision` parameter. For example, to download the 6.5 bpw branch:
Linux:
```shell
huggingface-cli download bartowski/Codestral-22B-v0.1-exl2 --revision 6_5 --local-dir Codestral-22B-v0.1-exl2-6_5
```
Windows (which apparently doesn't like _ in folders sometimes?):
```shell
huggingface-cli download bartowski/Codestral-22B-v0.1-exl2 --revision 6_5 --local-dir Codestral-22B-v0.1-exl2-6.5
```
Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski
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