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bartowski/Codestral-22B-v0.1-exl2
Codestral-22B-v0.1-exl2 is a text generation model from bartowski. Use it when you need the model to write or continue text. The card lists the license as other.
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.1.1"turboderp's ExLlamaV2 v0.1.1</a for quantization.
Downloads · 30 days
7
8% of all-time downloads
All-time downloads
85
Public
Repo size
75.8 GB
Likes
10
Public
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.json3.1 MB · 100%
From the Hugging Face model README
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
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>
| Branch | Bits | lm_head bits | VRAM (4k) | VRAM (16k) | VRAM (32k) | Description |
|---|---|---|---|---|---|---|
| 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 | 6.5 | 8.0 | 19.4 GB | 21.9 GB | 25.4 GB | Near unquantized performance at vastly reduced size, recommended. |
| 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 | 4.25 | 6.0 | 13.3 GB | 15.8 GB | 19.3 GB | GPTQ equivalent bits per weight, slightly higher quality. |
| 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 | 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. |
With git:
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):
pip3 install huggingface-hub
To download a specific branch, use the --revision parameter. For example, to download the 6.5 bpw branch:
Linux:
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?):
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