metadata

language:
  - en
library_name: transformers
pipeline_tag: text-generation
datasets:
  - yahma/alpaca-cleaned
license: apache-2.0
quantized_by: bartowski

Exllama v2 Quantizations of speechless-mistral-moloras-7b

Using turboderp's ExLlamaV2 v0.0.11 for quantization.

The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)

Each branch contains an individual bits per weight, with the main one containing only the meaurement.json for further conversions.

Conversion was done using the default 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/uukuguy/speechless-mistral-moloras-7b

Download instructions

With git:

git clone --single-branch --branch 4_0 https://huggingface.co/bartowski/speechless-mistral-moloras-7b-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 speechless-mistral-moloras-7b-exl2:

mkdir speechless-mistral-moloras-7b-exl2
huggingface-cli download bartowski/speechless-mistral-moloras-7b-exl2 --local-dir speechless-mistral-moloras-7b-exl2 --local-dir-use-symlinks False

To download from a different branch, add the --revision parameter:

mkdir speechless-mistral-moloras-7b-exl2
huggingface-cli download bartowski/speechless-mistral-moloras-7b-exl2 --revision 4_0 --local-dir speechless-mistral-moloras-7b-exl2 --local-dir-use-symlinks False