Branch	Bits	lm_head bits	VRAM (4k)	VRAM (16k)	VRAM (32k)	Description
8_0	8.0	8.0	8.4 GB	9.8 GB	11.8 GB	Maximum quality that ExLlamaV2 can produce, near unquantized performance.
6_5	6.5	8.0	7.2 GB	8.6 GB	10.6 GB	Very similar to 8.0, good tradeoff of size vs performance, recommended.
5_0	5.0	6.0	6.0 GB	7.4 GB	9.4 GB	Slightly lower quality vs 6.5, but usable on 8GB cards.
4_25	4.25	6.0	5.3 GB	6.7 GB	8.7 GB	GPTQ equivalent bits per weight, slightly higher quality.
3_5	3.5	6.0	4.7 GB	6.1 GB	8.1 GB	Lower quality, only use if you have to.

Download instructions

With git:

git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/Mistral-quiet-star-demo-exl2 Mistral-quiet-star-demo-exl2-6_5

With huggingface hub (credit to TheBloke for instructions):

pip3 install huggingface-hub

To download the main (only useful if you only care about measurement.json) branch to a folder called Mistral-quiet-star-demo-exl2:

shell

mkdir Mistral-quiet-star-demo-exl2
huggingface-cli download bartowski/Mistral-quiet-star-demo-exl2 --local-dir Mistral-quiet-star-demo-exl2 --local-dir-use-symlinks False

To download from a different branch, add the --revision parameter:

Linux:

shell

mkdir Mistral-quiet-star-demo-exl2-6_5
huggingface-cli download bartowski/Mistral-quiet-star-demo-exl2 --revision 6_5 --local-dir Mistral-quiet-star-demo-exl2-6_5 --local-dir-use-symlinks False

Windows (which apparently doesn't like _ in folders sometimes?):

shell

mkdir Mistral-quiet-star-demo-exl2-6.5
huggingface-cli download bartowski/Mistral-quiet-star-demo-exl2 --revision 6_5 --local-dir Mistral-quiet-star-demo-exl2-6.5 --local-dir-use-symlinks False

Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski