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- measurement.json +0 -0
README.md
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---
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base_model: mistralai/Mistral-7B-v0.1
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tags:
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- mistral
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- instruct
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- finetune
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- chatml
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- gpt4
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- synthetic data
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- distillation
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model-index:
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- name: OpenHermes-2-Mistral-7B
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results: []
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license: apache-2.0
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language:
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- en
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quantized_by: bartowski
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---
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## Exllama v2 Quantizations of OpenHermes-2.5-Mistral-7B
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Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.7">turboderp's ExLlamaV2 v0.0.7</a> for quantization.
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Each branch contains an individual bits per weight, with the main one containing only the meaurement.json for further conversions.
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Conversion was done using wikitext-103-raw-v1-test.parquet as calibration dataset.
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Original model: https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B
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## Download instructions
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With git:
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```shell
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git clone --single-branch --branch 4.0 https://huggingface.co/bartowski/OpenHermes-2.5-Mistral-7B-exl2
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```
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With huggingface hub (credit to TheBloke for instructions):
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```shell
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pip3 install huggingface-hub
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```
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To download the `main` (only useful if you only care about measurement.json) branch to a folder called `OpenHermes-2.5-Mistral-7B-exl2`:
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```shell
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mkdir OpenHermes-2.5-Mistral-7B-exl2
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huggingface-cli download bartowski/OpenHermes-2.5-Mistral-7B-exl2 --local-dir OpenHermes-2.5-Mistral-7B-exl2 --local-dir-use-symlinks False
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```
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To download from a different branch, add the `--revision` parameter:
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```shell
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mkdir OpenHermes-2.5-Mistral-7B-exl2
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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
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```
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measurement.json
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