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Quant for 4.0
0c0e383
metadata
datasets:
  - emozilla/yarn-train-tokenized-16k-mistral
metrics:
  - perplexity
library_name: transformers
quantized_by: bartowski

Exllama v2 Quantizations of Yarn-Mistral-7b-128k at 4.0

Using turboderp's ExLlamaV2 v0.0.7 for quantization.

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:

git clone --single-branch --branch 4.0 https://huggingface.co/bartowski/Yarn-Mistral-7b-128k-exl2

With huggingface hub (credit to TheBloke for instructions):

pip3 install huggingface-hub

To download from a different branch, add the --revision parameter:

mkdir Yarn-Mistral-7b-128k-exl2
huggingface-cli download bartowski/Yarn-Mistral-7b-128k-exl2 --revision  --local-dir Yarn-Mistral-7b-128k-exl2 --local-dir-use-symlinks False