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Exllama v2 Quantizations of Codestral-22B-v0.1

Using turboderp's ExLlamaV2 v0.1.1 for quantization.

The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)

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 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.

Download instructions

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

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