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Exllama v2 Quantizations of Qwen1.5-7B-Chat

Using turboderp's ExLlamaV2 v0.0.13 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/Qwen/Qwen1.5-7B-Chat

No GQA - VRAM requirements will be higher

Branch Bits lm_head bits Size (4k) Size (16k) Description
8_0 8.0 8.0 9.4 GB 15.6 GB Maximum quality that ExLlamaV2 can produce, near unquantized performance.
6_5 6.5 8.0 8.6 GB 14.8 GB Near unquantized performance at vastly reduced size, recommended.
5_0 5.0 6.0 7.2 GB 13.4 GB Slightly lower quality vs 6.5, but usable on 8GB cards with 4k context.
4_25 4.25 6.0 6.5 GB 12.7 GB GPTQ equivalent bits per weight.
3_5 3.5 6.0 5.9 GB 12.1 GB Lower quality, not recommended.

Download instructions

With git:

git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/Qwen1.5-7B-Chat-exl2 Qwen1.5-7B-Chat-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 Qwen1.5-7B-Chat-exl2:

mkdir Qwen1.5-7B-Chat-exl2
huggingface-cli download bartowski/Qwen1.5-7B-Chat-exl2 --local-dir Qwen1.5-7B-Chat-exl2 --local-dir-use-symlinks False

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

Linux:

mkdir Qwen1.5-7B-Chat-exl2-6_5
huggingface-cli download bartowski/Qwen1.5-7B-Chat-exl2 --revision 6_5 --local-dir Qwen1.5-7B-Chat-exl2-6_5 --local-dir-use-symlinks False

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

mkdir Qwen1.5-7B-Chat-exl2-6.5
huggingface-cli download bartowski/Qwen1.5-7B-Chat-exl2 --revision 6_5 --local-dir Qwen1.5-7B-Chat-exl2-6.5 --local-dir-use-symlinks False

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

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