Main branch

README.md

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+---
+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-16k
+
+Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.8">turboderp's ExLlamaV2 v0.0.8</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/NurtureAI/OpenHermes-2.5-Mistral-7B-16k
+
+## Download instructions
+
+With git:
+
+```shell
+git clone --single-branch --branch 4_0 https://huggingface.co/bartowski/OpenHermes-2.5-Mistral-7B-16k-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 `OpenHermes-2.5-Mistral-7B-16k-exl2`:
+
+```shell
+mkdir OpenHermes-2.5-Mistral-7B-16k-exl2
+huggingface-cli download bartowski/OpenHermes-2.5-Mistral-7B-16k-exl2 --local-dir OpenHermes-2.5-Mistral-7B-16k-exl2 --local-dir-use-symlinks False
+```
+
+To download from a different branch, add the `--revision` parameter:
+
+```shell
+mkdir OpenHermes-2.5-Mistral-7B-16k-exl2
+huggingface-cli download bartowski/OpenHermes-2.5-Mistral-7B-16k-exl2 --revision 4_0 --local-dir OpenHermes-2.5-Mistral-7B-16k-exl2 --local-dir-use-symlinks False
+```