--- license: apache-2.0 datasets: - Open-Orca/SlimOrca tags: - mistral quantized_by: bartowski --- # Exllama v2 Quantizations of OpenHermes-2.5-neural-chat-7b-v3-2-7B at 5.0 bits per weight Using turboderp's ExLlamaV2 v0.0.10 for quantization. Conversion was done using wikitext-103-raw-v1-test.parquet as calibration dataset. Original model: https://huggingface.co/Weyaxi/OpenHermes-2.5-neural-chat-7b-v3-2-7B ## Download instructions With git: ```shell git clone --single-branch --branch 5.0 https://huggingface.co/bartowski/OpenHermes-2.5-neural-chat-7b-v3-2-7B-exl2 ``` With huggingface hub (credit to TheBloke for instructions): ```shell pip3 install huggingface-hub ``` To download from a different branch, add the `--revision` parameter: ```shell mkdir OpenHermes-2.5-neural-chat-7b-v3-2-7B-exl2 huggingface-cli download bartowski/OpenHermes-2.5-neural-chat-7b-v3-2-7B-exl2 --revision 5_0 --local-dir OpenHermes-2.5-neural-chat-7b-v3-2-7B-exl2 --local-dir-use-symlinks False ```