| license: apache-2.0 | |
| tags: | |
| - moe | |
| train: false | |
| inference: false | |
| pipeline_tag: text-generation | |
| ## 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 from https://github.com/mobiusml/hqq 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) | |
| ``` | |