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--- |
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license: apache-2.0 |
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train: false |
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inference: false |
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pipeline_tag: text-generation |
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--- |
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## Mixtral-8x7B-v0.1-hf-2bit_g16_s128-HQQ |
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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): https://mobiusml.github.io/hqq_blog/ |
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### Basic Usage |
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To run the model, install the HQQ library from https://github.com/mobiusml/hqq and use it as follows: |
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``` Python |
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model_id = 'mobiuslabsgmbh/Mixtral-8x7B-v0.1-hf-2bit_g16_s128-HQQ' |
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#Load the model |
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from hqq.engine.hf import HQQModelForCausalLM, AutoTokenizer |
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tokenizer = AutoTokenizer.from_pretrained(model_id) |
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model = HQQModelForCausalLM.from_quantized(model_id) |
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#Optional |
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from hqq.core.quantize import * |
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HQQLinear.set_backend(HQQBackend.PYTORCH_COMPILE) |
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``` |
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