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mobiuslabsgmbh/
Mixtral-8x7B-v0.1-hf-2bit_g16_s128-HQQ

Name: Mixtral-8x7B-v0.1-hf-2bit_g16_s128-HQQ
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Mixtral-8x7B-v0.1-hf-2bit_g16_s128-HQQ

This is a version of the Mixtral-8x7B-v0.1 model (https://huggingface.co/mistralai/Mixtral-8x7B-v0.1) quantized to 2-bit via Half-Quadratic Quantization (HQQ).

Basic Usage

To run the model, install the HQQ library:

#This model is deprecated and requires older versions
pip install hqq==0.1.8
pip install transformers==4.46.0

and use it as follows:

Python

model_id = 'mobiuslabsgmbh/Mixtral-8x7B-v0.1-hf-2bit_g16_s128-HQQ'

#Load the model
from hqq.engine.hf import HQQModelForCausalLM, AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained(model_id)
model     = HQQModelForCausalLM.from_quantized(model_id)

#Optional
from hqq.core.quantize import *
HQQLinear.set_backend(HQQBackend.PYTORCH_COMPILE) 