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--- |
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license: other |
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tags: |
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- axolotl |
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- generated_from_trainer |
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base_model: mistralai/Mistral-7B-v0.1 |
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datasets: |
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- allenai/ai2_arc |
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- camel-ai/physics |
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- camel-ai/chemistry |
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- camel-ai/biology |
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- metaeval/reclor |
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- openbookqa |
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- mandyyyyii/scibench |
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- derek-thomas/ScienceQA |
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- wenhu/TheoremQA |
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- TIGER-Lab/ScienceEval |
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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 Einstein-7B |
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Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.12">turboderp's ExLlamaV2 v0.0.12</a> for quantization. |
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# The "main" branch only contains the measurement.json, download one of the other branches for the model (see below) |
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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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Original model: https://huggingface.co/Weyaxi/Einstein-7B |
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| Branch | Bits | lm_head bits | Size | Description | |
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| ----- | ---- | ------- | ------ | ------------ | |
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| [8_0](https://huggingface.co/Bartowski/Einstein-7B-exl2/tree/8_0) | 8.0 | 8.0 | 9.8 GB | Maximum quality that ExLlamaV2 can produce, near unquantized performance. | |
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| [6_5](https://huggingface.co/Bartowski/Einstein-7B-exl2/tree/6_5) | 6.5 | 8.0 | 8.6 GB | Very similar to 8.0, good tradeoff of size vs performance, **recommended**. | |
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| [5_0](https://huggingface.co/Bartowski/Einstein-7B-exl2/tree/5_0) | 5.0 | 6.0 | 7.4 GB | Slightly lower quality vs 6.5, but usable on 8GB cards. | |
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| [4_25](https://huggingface.co/Bartowski/Einstein-7B-exl2/tree/4_25) | 4.25 | 6.0 | 6.7 GB | GPTQ equivalent bits per weight, slightly higher quality. | |
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| [3_5](https://huggingface.co/Bartowski/Einstein-7B-exl2/tree/3_5) | 3.5 | 6.0 | 6.1 GB | Lower quality, only use if you have to. | |
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All VRAM requirements estimated from 16k context. For 32k context add ~2 GB. |
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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 6_5 https://huggingface.co/bartowski/Einstein-7B-exl2 Einstein-7B-exl2-6_5 |
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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 `Einstein-7B-exl2`: |
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```shell |
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mkdir Einstein-7B-exl2 |
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huggingface-cli download bartowski/Einstein-7B-exl2 --local-dir Einstein-7B-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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Linux: |
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```shell |
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mkdir Einstein-7B-exl2-6_5 |
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huggingface-cli download bartowski/Einstein-7B-exl2 --revision 6_5 --local-dir Einstein-7B-exl2-6_5 --local-dir-use-symlinks False |
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``` |
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Windows (which apparently doesn't like _ in folders sometimes?): |
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```shell |
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mkdir Einstein-7B-exl2-6.5 |
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huggingface-cli download bartowski/Einstein-7B-exl2 --revision 6_5 --local-dir Einstein-7B-exl2-6.5 --local-dir-use-symlinks False |
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``` |
