--- license: apache-2.0 datasets: - Open-Orca/SlimOrca tags: - mistral quantized_by: bartowski pipeline_tag: text-generation --- ## Exllama v2 Quantizations of OpenHermes-2.5-neural-chat-7b-v3-2-7B Using turboderp's ExLlamaV2 v0.0.10 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. Default arguments used except when the bits per weight is above 6.0, at that point the lm_head layer is quantized at 8 bits per weight instead of the default 6. Original model: https://huggingface.co/Weyaxi/OpenHermes-2.5-neural-chat-7b-v3-2-7B 4.0 bits per weight 5.0 bits per weight 6.0 bits per weight 8.0 bits per weight ## Download instructions With git: ```shell git clone --single-branch --branch 4_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 the `main` (only useful if you only care about measurement.json) branch to a folder called `OpenHermes-2.5-neural-chat-7b-v3-2-7B-exl2`: ```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 --local-dir OpenHermes-2.5-neural-chat-7b-v3-2-7B-exl2 --local-dir-use-symlinks False ``` 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 4_0 --local-dir OpenHermes-2.5-neural-chat-7b-v3-2-7B-exl2 --local-dir-use-symlinks False ```