metadata
base_model: fblgit/zephyr-lora-dpo-b1
tags:
- alignment-handbook
- generated_from_trainer
datasets:
- HuggingFaceH4/ultrafeedback_binarized
model-index:
- name: juanako-7b-v1
results: []
license: artistic-2.0
quantized_by: bartowski
pipeline_tag: text-generation
Exllama v2 Quantizations of juanako-7b-v1
Using turboderp's ExLlamaV2 v0.0.9 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/fblgit/juanako-7b-v1
Download instructions
With git:
git clone --single-branch --branch 4_0 https://huggingface.co/bartowski/juanako-7b-v1-exl2
With huggingface hub (credit to TheBloke for instructions):
pip3 install huggingface-hub
To download the main (only useful if you only care about measurement.json) branch to a folder called juanako-7b-v1-exl2:
mkdir juanako-7b-v1-exl2
huggingface-cli download bartowski/juanako-7b-v1-exl2 --local-dir juanako-7b-v1-exl2 --local-dir-use-symlinks False
To download from a different branch, add the --revision parameter:
mkdir juanako-7b-v1-exl2
huggingface-cli download bartowski/juanako-7b-v1-exl2 --revision 4_0 --local-dir juanako-7b-v1-exl2 --local-dir-use-symlinks False