--- license: apache-2.0 base_model: mistralai/Mistral-7B-v0.1 datasets: - ehartford/dolphin - jondurbin/airoboros-2.2.1 language: - en quantized_by: bartowski --- ## Exllama v2 Quantizations of dolphin-2.2.1-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.parquet as calibration dataset. Original model: https://huggingface.co/ehartford/dolphin-2.2.1-mistral-7b 4.0 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/dolphin-2.2.1-mistral-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 `dolphin-2.2.1-mistral-7b-exl2`: ```shell mkdir dolphin-2.2.1-mistral-7b-exl2 huggingface-cli download bartowski/dolphin-2.2.1-mistral-7b-exl2 --local-dir dolphin-2.2.1-mistral-7b-exl2 --local-dir-use-symlinks False ``` To download from a different branch, add the `--revision` parameter: ```shell mkdir dolphin-2.2.1-mistral-7b-exl2 huggingface-cli download bartowski/dolphin-2.2.1-mistral-7b-exl2 --revision 4.0 --local-dir dolphin-2.2.1-mistral-7b-exl2 --local-dir-use-symlinks False ```