README.md

---
license: apache-2.0
---

# The Quantized LLaMA 3.1 70B Instruct Model

Original Base Model: `meta-llama/Meta-Llama-3.1-70B`.<br>
Link: [https://huggingface.co/meta-llama/Meta-Llama-3.1-70B](https://huggingface.co/meta-llama/Meta-Llama-3.1-70B)

## Special Notice
Please note that this is a relatively smaller model by setting `group_size=1024`.<br>
For the standard `group_size=128` model, please check here, `shuyuej/Meta-Llama-3.1-70B-GPTQ`, [https://huggingface.co/shuyuej/Meta-Llama-3.1-70B-GPTQ](https://huggingface.co/shuyuej/Meta-Llama-3.1-70B-GPTQ).

## Quantization Configurations
```
"quantization_config": {
    "bits": 4,
    "checkpoint_format": "gptq",
    "damp_percent": 0.01,
    "desc_act": true,
    "group_size": 1024,
    "model_file_base_name": null,
    "model_name_or_path": null,
    "quant_method": "gptq",
    "static_groups": false,
    "sym": true,
    "true_sequential": true
  },
```

## Source Codes
Source Codes: [https://github.com/vkola-lab/medpodgpt/tree/main/quantization](https://github.com/vkola-lab/medpodgpt/tree/main/quantization).