Branch	Bits	lm_head bits	VRAM (4k)	VRAM (16k)	VRAM (32k)	Description
8_0	8.0	8.0	16.6 GB	17.5 GB	18.8 GB	Maximum quality that ExLlamaV2 can produce, near unquantized performance.
6_5	6.5	8.0	13.9 GB	14.9 GB	16.2 GB	Near unquantized performance at vastly reduced size, recommended.
5_0	5.0	6.0	11.2 GB	12.2 GB	13.5 GB	Slightly lower quality vs 6.5.
4_25	4.25	6.0	9.8 GB	10.7 GB	12.0 GB	GPTQ equivalent bits per weight.
3_5	3.5	6.0	8.4 GB	9.3 GB	10.6 GB	Lower quality, not recommended.

Download instructions

With git:

git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/dolphincoder-starcoder2-15b-exl2

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 dolphincoder-starcoder2-15b-exl2:

shell

mkdir dolphincoder-starcoder2-15b-exl2
huggingface-cli download bartowski/dolphincoder-starcoder2-15b-exl2 --local-dir dolphincoder-starcoder2-15b-exl2 --local-dir-use-symlinks False

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

Linux:

shell

mkdir dolphincoder-starcoder2-15b-exl2-6_5
huggingface-cli download bartowski/dolphincoder-starcoder2-15b-exl2 --revision 6_5 --local-dir dolphincoder-starcoder2-15b-exl2-6_5 --local-dir-use-symlinks False

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

shell

mkdir dolphincoder-starcoder2-15b-exl2-6.5
huggingface-cli download bartowski/dolphincoder-starcoder2-15b-exl2 --revision 6_5 --local-dir dolphincoder-starcoder2-15b-exl2-6.5 --local-dir-use-symlinks False

kaosnet/dolphincoder-starcoder2-15b-exl2

Exllama v2 Quantizations of dolphincoder-starcoder2-15b

Download instructions

kaosnet/
dolphincoder-starcoder2-15b-exl2