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RichardErkhov/vitus48683_-_gemma-2-2b-ko-quant-exl2
vitus48683_-_gemma-2-2b-ko-quant-exl2 is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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Updated Jan 18, 2025
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From the Hugging Face model README
Quantization made by Richard Erkhov.
gemma-2-2b-ko-quant - EXL2
| Branch | Bits | Description |
|---|---|---|
| 8_0 | 8.0 | Maximum quality that ExLlamaV2 can produce, near unquantized performance. |
| 6_5 | 6.5 | Very similar to 8.0, good tradeoff of size vs performance, recommended. |
| 5_0 | 5.0 | Slightly lower quality vs 6.5, but usable |
| 4_25 | 4.25 | GPTQ equivalent bits per weight, slightly higher quality. |
| 3_5 | 3.5 | Lower quality, only use if you have to. |
With git:
git clone --single-branch --branch 6_5 https://huggingface.co/vitus48683_-_gemma-2-2b-ko-quant-exl2 gemma-2-2b-ko-quant-6_5
With huggingface hub:
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 vitus48683_-_gemma-2-2b-ko-quant-exl2 --revision 6_5 --local-dir gemma-2-2b-ko-quant-6_5 --local-dir-use-symlinks False
Windows (which apparently doesn't like _ in folders sometimes?):
huggingface-cli download vitus48683_-_gemma-2-2b-ko-quant-exl2 --revision 6_5 --local-dir gemma-2-2b-ko-quant-6.5 --local-dir-use-symlinks False
base_model: