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--- |
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datasets: |
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- ehartford/dolphin |
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- jondurbin/airoboros-2.2.1 |
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- ehartford/dolphin-coder |
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- teknium/openhermes |
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- ise-uiuc/Magicoder-OSS-Instruct-75K |
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- ise-uiuc/Magicoder-Evol-Instruct-110K |
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- LDJnr/Capybara |
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- argilla/ultrafeedback-binarized-preferences-cleaned |
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language: |
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- en |
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license: apache-2.0 |
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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 dolphin-2.6-mistral-7b-dpo-laser |
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Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.11">turboderp's ExLlamaV2 v0.0.11</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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Original model: https://huggingface.co/cognitivecomputations/dolphin-2.6-mistral-7b-dpo-laser/ |
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Model Size: 7b |
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| Branch | Bits | lm_head bits | Dataset | Size | Description | |
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| ----- | ---- | ------- | ------- | ------ | ------------ | |
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| [8_0](https://huggingface.co/Bartowski/dolphin-2.6-mistral-7b-dpo-laser-exl2/tree/8_0) | 8.0 | 8.0 | Default | 9.8 GB | Maximum quality that ExLlamaV2 can produce, near unquantized performance. | |
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| [6_5](https://huggingface.co/Bartowski/dolphin-2.6-mistral-7b-dpo-laser-exl2/tree/6_5) | 6.5 | 8.0 | Default | 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/dolphin-2.6-mistral-7b-dpo-laser-exl2/tree/5_0) | 5.0 | 6.0 | Default | 7.4 GB | Slightly lower perplexity vs 6.5. | |
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| [4_0](https://huggingface.co/Bartowski/dolphin-2.6-mistral-7b-dpo-laser-exl2/tree/4_0) | 4.0 | 6.0 | Default | 6.5 GB | Just under GPTQ equivalent bits per weight. | |
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| [3_5](https://huggingface.co/Bartowski/dolphin-2.6-mistral-7b-dpo-laser-exl2/tree/3_5) | 3.5 | 6.0 | Default | 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/dolphin-2.6-mistral-7b-dpo-laser-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 `dolphin-2.6-mistral-7b-dpo-laser-exl2`: |
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```shell |
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mkdir dolphin-2.6-mistral-7b-dpo-laser-exl2 |
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huggingface-cli download bartowski/dolphin-2.6-mistral-7b-dpo-laser-exl2 --local-dir dolphin-2.6-mistral-7b-dpo-laser-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 dolphin-2.6-mistral-7b-dpo-laser-exl2-6_5 |
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huggingface-cli download bartowski/dolphin-2.6-mistral-7b-dpo-laser-exl2 --revision 6_5 --local-dir dolphin-2.6-mistral-7b-dpo-laser-exl2-6_5 --local-dir-use-symlinks False |
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``` |
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