Main branch

README.md

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+---
+datasets:
+- emozilla/yarn-train-tokenized-16k-mistral
+metrics:
+- perplexity
+library_name: transformers
+quantized_by: bartowski
+---
+
+## Exllama v2 Quantizations of Yarn-Mistral-7b-128k
+
+Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.7">turboderp's ExLlamaV2 v0.0.7</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 wikitext-103-raw-v1-test.parquet as calibration dataset.
+
+Original model: https://huggingface.co/NousResearch/Yarn-Mistral-7b-128k
+
+## Download instructions
+
+With git:
+
+```shell
+git clone --single-branch --branch 4.0 https://huggingface.co/bartowski/Yarn-Mistral-7b-128k-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 `Yarn-Mistral-7b-128k-exl2`:
+
+```shell
+mkdir Yarn-Mistral-7b-128k-exl2
+huggingface-cli download bartowski/Yarn-Mistral-7b-128k-exl2 --local-dir Yarn-Mistral-7b-128k-exl2 --local-dir-use-symlinks False
+```
+
+To download from a different branch, add the `--revision` parameter:
+
+```shell
+mkdir Yarn-Mistral-7b-128k-exl2
+huggingface-cli download bartowski/Yarn-Mistral-7b-128k-exl2 --revision 4.0 --local-dir Yarn-Mistral-7b-128k-exl2 --local-dir-use-symlinks False
+```