README.md

---
language:
- ar
- en
model_name: AceGPT 7B Chat
model_type: AceGPT
quantized_by: FreedomIntelligence
---

## Updates
Add arg ’**use_safetensors=False**‘ in from_quanted(), while this arg is set to False as defauly in previous Auto-GPTQ. If there are any problems to load model directly by HF, someone can try **git clone**. (Dec 15， 2023)

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## Description

This repo contains int4 model(GPTQ) for [AceGPT-7B-Chat](https://huggingface.co/FreedomIntelligence/AceGPT-7B-chat).

The performance of the int4 version has experienced some degradation. For a better user experience, please use the fp16 version. 
For details, see [AceGPT-7B-Chat](https://huggingface.co/FreedomIntelligence/AceGPT-7B-chat) and [AceGPT-13B-Chat](https://huggingface.co/FreedomIntelligence/AceGPT-13B-chat).



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## How to use this GPTQ model from Python code

### Install the necessary packages

Requires: Transformers 4.32.0 or later, Optimum 1.12.0 or later, and AutoGPTQ 0.4.2 or later. 


```shell
pip3 install transformers>=4.32.0 optimum>=1.12.0   #See requirements.py for verified versions.
pip3 install auto-gptq --extra-index-url https://huggingface.github.io/autogptq-index/whl/cu118/  # Use cu117 if on CUDA 11.7
```

### You can then generate a simple gradioweb with_quant.py

```bash
python web_quant.py --model-name ${model-path}

```


# You can get more details at https://github.com/FreedomIntelligence/AceGPT/tree/main
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