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--- |
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license: apache-2.0 |
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tags: |
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- finetuned |
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- Instruct |
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- code |
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quantized_by: bartowski |
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--- |
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## Exllama v2 Quantizations of KAI-7B-Instruct |
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Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.7">turboderp's ExLlamaV2 v0.0.7</a> for quantization. |
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Each branch contains an individual bits per weight, with the main one containing only the meaurement.json for further conversions. |
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Conversion was done using wikitext-103-raw-v1-test.parquet as calibration dataset. |
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Original model: https://huggingface.co/Keynote-Technology/KAI-7B-Instruct |
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<a href="https://huggingface.co/bartowski/KAI-7B-Instruct-exl2/tree/4.0">4.0 bits per weight</a> |
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<a href="https://huggingface.co/bartowski/KAI-7B-Instruct-exl2/tree/6.0">6.0 bits per weight</a> |
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<a href="https://huggingface.co/bartowski/KAI-7B-Instruct-exl2/tree/8.0">8.0 bits per weight</a> |
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## Download instructions |
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With git: |
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```shell |
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git clone --single-branch --branch 4.0 https://huggingface.co/bartowski/KAI-7B-Instruct-exl2 |
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``` |
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With huggingface hub (credit to TheBloke for instructions): |
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```shell |
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pip3 install huggingface-hub |
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``` |
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To download the `main` (only useful if you only care about measurement.json) branch to a folder called `KAI-7B-Instruct-exl2`: |
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```shell |
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mkdir KAI-7B-Instruct-exl2 |
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huggingface-cli download bartowski/KAI-7B-Instruct-exl2 --local-dir KAI-7B-Instruct-exl2 --local-dir-use-symlinks False |
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``` |
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To download from a different branch, add the `--revision` parameter: |
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```shell |
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mkdir KAI-7B-Instruct-exl2 |
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huggingface-cli download bartowski/KAI-7B-Instruct-exl2 --revision 4.0 --local-dir KAI-7B-Instruct-exl2 --local-dir-use-symlinks False |
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``` |
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