This repository contains the bitsandbytes 4-bit quantized version of mistralai/Mixtral-8x7B-Instruct-v0.1. To use it, make sure to have the latest version of bitsandbytes and transformers installed from source:

Loading this model as such: will directly load the quantized model in 4-bit precision.

python

from transformers import AutoModelForCausalLM, AutoTokenizer

model_id = "ybelkada/Mixtral-8x7B-Instruct-v0.1-bnb-4bit"
model = AutoModelForCausalLM.from_pretrained(model_id)

Note you need a CUDA-compatible GPU device to run low-bit precision models with bitsandbytes

ybelkada/Mixtral-8x7B-Instruct-v0.1-bnb-4bit

Mixtral 8x7B Instruct-v0.1 - bitsandbytes 4-bit

ybelkada/
Mixtral-8x7B-Instruct-v0.1-bnb-4bit

Mixtral 8x7B Instruct-v0.1 - `bitsandbytes` 4-bit