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## Llama-2-70b-hf-2bit_g16_s128-HQQ
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This is a version of the LLama-2-70B-hf model quantized to 2-bit via Half-Quadratic Quantization (HQQ): https://mobiusml.github.io/
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This model outperforms an fp16 LLama-2-13B (perplexity 4.13 vs. 4.63) for a comparable ~26GB size.
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To run the model, install the HQQ library from https://github.com/mobiusml/hqq
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``` Python
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from hqq.models.llama import LlamaHQQ
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import transformers
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## Llama-2-70b-hf-2bit_g16_s128-HQQ
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This is a version of the LLama-2-70B-hf model quantized to 2-bit via Half-Quadratic Quantization (HQQ): https://mobiusml.github.io/hqq_blog/
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This model outperforms an fp16 LLama-2-13B (perplexity 4.13 vs. 4.63) for a comparable ~26GB size.
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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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from hqq.models.llama import LlamaHQQ
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import transformers
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