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README.md

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 ---
 license: apache-2.0
+quantized_by: suparious
+pipeline_tag: text-generation
 ---
+
+## Exllama v2 Quantizations of mistral-7b-v0.2-layla-v4
+
+Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.16">turboderp's ExLlamaV2 v0.0.16</a> for quantization.
+
+Each branch contains an individual bits per weight, with the main one containing only the meaurement.json for further conversions.
+
+Original model: l3utterfly/mistral-7b-v0.2-layla-v4
+
+Model Size: 7b
+
+| Branch | Bits | lm_head bits | Dataset | Size | Description |
+| ----- | ---- | ------- | ------- | ------- | ------------ |
+| [8_0](https://huggingface.co/suparious/mistral-7b-v0.2-layla-v4-exl2/tree/8_0) | 8.0 | 8.0 | Default | 9.8 GB | Maximum quality that ExLlamaV2 can produce, near unquantized performance. |
+| [6_5](https://huggingface.co/suparious/mistral-7b-v0.2-layla-v4-exl2/tree/6_5) | 6.5 | 8.0 | Default | 8.6 GB | Very similar to 8.0, good tradeoff of size vs performance, **recommended**. |
+| [5_0](https://huggingface.co/suparious/mistral-7b-v0.2-layla-v4-exl2/tree/5_0) | 5.0 | 6.0 | Default | 7.4 GB | Slightly lower perplexity vs 6.5. |
+| [4_0](https://huggingface.co/suparious/mistral-7b-v0.2-layla-v4-exl2/tree/4_0) | 4.0 | 6.0 | Default | 6.5 GB | Just under GPTQ equivalent bits per weight. |
+
+All VRAM requirements estimated from 16k context. For 32k context add ~2 GB.
+ 
+<a href="https://huggingface.co/suparious/mistral-7b-v0.2-layla-v4-exl2/tree/4_0">4.0 bits per weight</a>
+ 
+<a href="https://huggingface.co/suparious/mistral-7b-v0.2-layla-v4-exl2/tree/5_0">5.0 bits per weight</a>
+ 
+<a href="https://huggingface.co/suparious/mistral-7b-v0.2-layla-v4-exl2/tree/6_5">6.5 bits per weight</a>
+ 
+<a href="https://huggingface.co/suparious/mistral-7b-v0.2-layla-v4-exl2/tree/8_0">8.0 bits per weight</a>
+
+## Download instructions
+
+With git:
+
+```shell
+git clone --single-branch --branch 4_0 https://huggingface.co/suparious/mistral-7b-v0.2-layla-v4-exl2
+```
+
+With huggingface hub (credit to TheBloke and bartowski for instructions):
+
+```shell
+pip3 install huggingface-hub
+```
+
+To download the `main` (only useful if you only care about measurement.json) branch to a folder called `mistral-7b-v0.2-layla-v4-exl2`:
+
+```shell
+mkdir mistral-7b-v0.2-layla-v4-exl2
+huggingface-cli download suparious/mistral-7b-v0.2-layla-v4-exl2 --local-dir mistral-7b-v0.2-layla-v4-exl2 --local-dir-use-symlinks False
+```
+
+To download from a different branch, add the `--revision` parameter:
+
+```shell
+mkdir mistral-7b-v0.2-layla-v4-exl2-6_5
+huggingface-cli download suparious/mistral-7b-v0.2-layla-v4-exl2 --revision 6_5 --local-dir mistral-7b-v0.2-layla-v4-exl2-6_5 --local-dir-use-symlinks False
+```