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metadata
base_model: mistralai/Mistral-7B-v0.1
tags:
  - mistral
  - instruct
  - finetune
  - chatml
  - gpt4
  - synthetic data
  - distillation
model-index:
  - name: OpenHermes-2-Mistral-7B
    results: []
license: apache-2.0
language:
  - en
quantized_by: bartowski

Exllama v2 Quantizations of OpenHermes-2.5-Mistral-7B

Using turboderp's ExLlamaV2 v0.0.7 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/teknium/OpenHermes-2.5-Mistral-7B

4.0 bits per weight

6.0 bits per weight

8.0 bits per weight

Download instructions

With git:

git clone --single-branch --branch 4.0 https://huggingface.co/bartowski/OpenHermes-2.5-Mistral-7B-exl2

With huggingface hub (credit to TheBloke for instructions):

pip3 install huggingface-hub

To download the main (only useful if you only care about measurement.json) branch to a folder called OpenHermes-2.5-Mistral-7B-exl2:

mkdir OpenHermes-2.5-Mistral-7B-exl2
huggingface-cli download bartowski/OpenHermes-2.5-Mistral-7B-exl2 --local-dir OpenHermes-2.5-Mistral-7B-exl2 --local-dir-use-symlinks False

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

mkdir OpenHermes-2.5-Mistral-7B-exl2
huggingface-cli download bartowski/OpenHermes-2.5-Mistral-7B-exl2 --revision 4.0 --local-dir OpenHermes-2.5-Mistral-7B-exl2 --local-dir-use-symlinks False