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---
license: llama2
train: false
inference: false
pipeline_tag: text-generation
---
## Llama-2-7b-hf-4bit_g64-HQQ
This a version of the LLama2-7B model quantized to 4-bit via Half-Quadratic Quantization (HQQ): https://mobiusml.github.io/hqq/
To run the model, install the HQQ library from https://github.com/mobiusml/hqq/tree/main/code and load it as follows:
``` Python
from hqq.models.llama import LlamaHQQ
import transformers
model_id = 'mobiuslabsgmbh/Llama-2-7b-hf-4bit_g64-HQQ'
#Load the tokenizer
tokenizer = transformers.AutoTokenizer.from_pretrained(model_id)
#Load the model
model = LlamaHQQ.from_quantized(model_id)
```
You can then use the model for text generation or to reproduce the benchmark numbers.
*Limitations*: <br>
-Only supports a single GPU runtime.<br>
-Not compatible with HuggingFace's PEFT.<br>
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