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--- |
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license: cc-by-nc-4.0 |
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datasets: |
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- berkeley-nest/Nectar |
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language: |
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- en |
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library_name: transformers |
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tags: |
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- reward model |
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- RLHF |
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- RLAIF |
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quantized_by: bartowski |
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pipeline_tag: text-generation |
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--- |
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## Exllama v2 Quantizations of Starling-LM-7B-alpha |
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Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.9">turboderp's ExLlamaV2 v0.0.9</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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Default arguments used except when the bits per weight is above 6.0, at that point the lm_head layer is quantized at 8 bits per weight instead of the default 6. |
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Original model: https://huggingface.co/berkeley-nest/Starling-LM-7B-alpha |
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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/Starling-LM-7B-alpha-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 `Starling-LM-7B-alpha-exl2`: |
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```shell |
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mkdir Starling-LM-7B-alpha-exl2 |
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huggingface-cli download bartowski/Starling-LM-7B-alpha-exl2 --local-dir Starling-LM-7B-alpha-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 Starling-LM-7B-alpha-exl2 |
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huggingface-cli download bartowski/Starling-LM-7B-alpha-exl2 --revision 4_0 --local-dir Starling-LM-7B-alpha-exl2 --local-dir-use-symlinks False |
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``` |
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