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README.md
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---
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license: llama2
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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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## Llama-2-7b-hf-4bit_g64-HQQ
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This a version of the LLama2-7B model quantized to 4-bit via Half-Quadratic Quantization (HQQ): https://mobiusml.github.io/hqq/
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To run the model, install the HQQ library from https://github.com/mobiusml/hqq/tree/main/code and load 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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model_id = 'mobiuslabsgmbh/Llama-2-7b-hf-4bit_g64-HQQ'
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#Load the tokenizer
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tokenizer = transformers.AutoTokenizer.from_pretrained(model_id)
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#Load the model
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model = LlamaHQQ.from_quantized(model_id)
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```
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You can then use the model for text generation or to reproduce the benchmark numbers.
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*Note*: this model is not compatible with HuggingFace's PEFT.
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