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README.md
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pipeline_tag: text-generation
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---
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## Exllama v2 Quantizations of Mistral-quiet-star
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Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.16">turboderp's ExLlamaV2 v0.0.16</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/liminerity/Mistral-quiet-star
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| Branch | Bits | lm_head bits | VRAM (4k) | VRAM (16k) | VRAM (32k) | Description |
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| ----- | ---- | ------- | ------ | ------ | ------ | ------------ |
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| [8_0](https://huggingface.co/bartowski/Mistral-quiet-star-exl2/tree/8_0) | 8.0 | 8.0 | 8.4 GB | 9.8 GB | 11.8 GB | Maximum quality that ExLlamaV2 can produce, near unquantized performance. |
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| [6_5](https://huggingface.co/bartowski/Mistral-quiet-star-exl2/tree/6_5) | 6.5 | 8.0 | 7.2 GB | 8.6 GB | 10.6 GB | Very similar to 8.0, good tradeoff of size vs performance, **recommended**. |
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| [5_0](https://huggingface.co/bartowski/Mistral-quiet-star-exl2/tree/5_0) | 5.0 | 6.0 | 6.0 GB | 7.4 GB | 9.4 GB | Slightly lower quality vs 6.5, but usable on 8GB cards. |
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| [4_25](https://huggingface.co/bartowski/Mistral-quiet-star-exl2/tree/4_25) | 4.25 | 6.0 | 5.3 GB | 6.7 GB | 8.7 GB | GPTQ equivalent bits per weight, slightly higher quality. |
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| [3_5](https://huggingface.co/bartowski/Mistral-quiet-star-exl2/tree/3_5) | 3.5 | 6.0 | 4.7 GB | 6.1 GB | 8.1 GB | Lower quality, only use if you have to. |
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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/Mistral-quiet-star-exl2 Mistral-quiet-star-exl2-6_5
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```
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With huggingface hub (credit to TheBloke for instructions):
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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 `Mistral-quiet-star-exl2`:
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```shell
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mkdir Mistral-quiet-star-exl2
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huggingface-cli download bartowski/Mistral-quiet-star-exl2 --local-dir Mistral-quiet-star-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 Mistral-quiet-star-exl2-6_5
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huggingface-cli download bartowski/Mistral-quiet-star-exl2 --revision 6_5 --local-dir Mistral-quiet-star-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 Mistral-quiet-star-exl2-6.5
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huggingface-cli download bartowski/Mistral-quiet-star-exl2 --revision 6_5 --local-dir Mistral-quiet-star-exl2-6.5 --local-dir-use-symlinks False
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```
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Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski
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pipeline_tag: text-generation
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---
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## Exllama v2 Quantizations of Mistral-quiet-star-demo
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Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.16">turboderp's ExLlamaV2 v0.0.16</a> for quantization.
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|
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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/liminerity/Mistral-quiet-star-demo
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| Branch | Bits | lm_head bits | VRAM (4k) | VRAM (16k) | VRAM (32k) | Description |
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| ----- | ---- | ------- | ------ | ------ | ------ | ------------ |
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| [8_0](https://huggingface.co/bartowski/Mistral-quiet-star-demo-exl2/tree/8_0) | 8.0 | 8.0 | 8.4 GB | 9.8 GB | 11.8 GB | Maximum quality that ExLlamaV2 can produce, near unquantized performance. |
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| [6_5](https://huggingface.co/bartowski/Mistral-quiet-star-demo-exl2/tree/6_5) | 6.5 | 8.0 | 7.2 GB | 8.6 GB | 10.6 GB | Very similar to 8.0, good tradeoff of size vs performance, **recommended**. |
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| [5_0](https://huggingface.co/bartowski/Mistral-quiet-star-demo-exl2/tree/5_0) | 5.0 | 6.0 | 6.0 GB | 7.4 GB | 9.4 GB | Slightly lower quality vs 6.5, but usable on 8GB cards. |
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| [4_25](https://huggingface.co/bartowski/Mistral-quiet-star-demo-exl2/tree/4_25) | 4.25 | 6.0 | 5.3 GB | 6.7 GB | 8.7 GB | GPTQ equivalent bits per weight, slightly higher quality. |
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| [3_5](https://huggingface.co/bartowski/Mistral-quiet-star-demo-exl2/tree/3_5) | 3.5 | 6.0 | 4.7 GB | 6.1 GB | 8.1 GB | Lower quality, only use if you have to. |
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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/Mistral-quiet-star-demo-exl2 Mistral-quiet-star-demo-exl2-6_5
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```
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With huggingface hub (credit to TheBloke for instructions):
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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 `Mistral-quiet-star-demo-exl2`:
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```shell
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mkdir Mistral-quiet-star-demo-exl2
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huggingface-cli download bartowski/Mistral-quiet-star-demo-exl2 --local-dir Mistral-quiet-star-demo-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 Mistral-quiet-star-demo-exl2-6_5
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huggingface-cli download bartowski/Mistral-quiet-star-demo-exl2 --revision 6_5 --local-dir Mistral-quiet-star-demo-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 Mistral-quiet-star-demo-exl2-6.5
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huggingface-cli download bartowski/Mistral-quiet-star-demo-exl2 --revision 6_5 --local-dir Mistral-quiet-star-demo-exl2-6.5 --local-dir-use-symlinks False
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```
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Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski
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