--- base_model: qblocks/mistral_7b_norobots datasets: - HuggingFaceH4/no_robots inference: false library_name: peft license: apache-2.0 model_creator: MonsterAPI model_name: Mistral 7B Norobots model_type: mistral prompt_template: '<|system|> <|user|> {prompt} <|assistant|> {{response}} ' quantized_by: TheBloke tags: - code - instruct - llama2 quantized_by: bartowski pipeline_tag: text-generation --- ## Exllama v2 Quantizations of mistral_7b_norobots Using turboderp's ExLlamaV2 v0.0.8 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/TheBloke/mistral_7b_norobots-fp16 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/mistral_7b_norobots-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 `mistral_7b_norobots-exl2`: ```shell mkdir mistral_7b_norobots-exl2 huggingface-cli download bartowski/mistral_7b_norobots-exl2 --local-dir mistral_7b_norobots-exl2 --local-dir-use-symlinks False ``` To download from a different branch, add the `--revision` parameter: ```shell mkdir mistral_7b_norobots-exl2 huggingface-cli download bartowski/mistral_7b_norobots-exl2 --revision 4_0 --local-dir mistral_7b_norobots-exl2 --local-dir-use-symlinks False ```