Main branch

README.md

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+---
+license: apache-2.0
+pipeline_tag: text-generation
+tags:
+- finetuned
+inference:
+  parameters:
+    temperature: 0.7
+quantized_by: bartowski
+---
+
+## Exllama v2 Quantizations of Mistral-7B-Instruct-v0.2
+
+Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.10">turboderp's ExLlamaV2 v0.0.10</a> for quantization.
+
+Each branch contains an individual bits per weight, with the main one containing only the meaurement.json for further conversions.
+
+Conversion was done using VMWareOpenInstruct.parquet as calibration dataset.
+
+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.
+
+Original model: https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2
+
+## Download instructions
+
+With git:
+
+```shell
+git clone --single-branch --branch 4_0 https://huggingface.co/bartowski/Mistral-7B-Instruct-v0.2-exl2
+```
+
+With huggingface hub (credit to TheBloke 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-Instruct-v0.2-exl2`:
+
+```shell
+mkdir Mistral-7B-Instruct-v0.2-exl2
+huggingface-cli download bartowski/Mistral-7B-Instruct-v0.2-exl2 --local-dir Mistral-7B-Instruct-v0.2-exl2 --local-dir-use-symlinks False
+```
+
+To download from a different branch, add the `--revision` parameter:
+
+```shell
+mkdir Mistral-7B-Instruct-v0.2-exl2
+huggingface-cli download bartowski/Mistral-7B-Instruct-v0.2-exl2 --revision 4_0 --local-dir Mistral-7B-Instruct-v0.2-exl2 --local-dir-use-symlinks False
+```