Instructions to use SUSTech/SUS-Chat-72B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SUSTech/SUS-Chat-72B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="SUSTech/SUS-Chat-72B")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("SUSTech/SUS-Chat-72B") model = AutoModelForCausalLM.from_pretrained("SUSTech/SUS-Chat-72B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use SUSTech/SUS-Chat-72B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "SUSTech/SUS-Chat-72B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "SUSTech/SUS-Chat-72B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/SUSTech/SUS-Chat-72B
- SGLang
How to use SUSTech/SUS-Chat-72B with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "SUSTech/SUS-Chat-72B" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "SUSTech/SUS-Chat-72B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "SUSTech/SUS-Chat-72B" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "SUSTech/SUS-Chat-72B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use SUSTech/SUS-Chat-72B with Docker Model Runner:
docker model run hf.co/SUSTech/SUS-Chat-72B
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license: other
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# 🐷SUS-Chat: Instruction tuning done right
<Warning>
not currently in use
</Warning>
<p align="left">
中文</a>  |  <a href="README.md">English</a> 
</p>
<br><br>
<div align="center">
<p align="center">
<img src="https://github.com/SUSTech-IDEA/SUS-Chat/raw/main/assets/sustech.svg?sanitize=true" width="200px">
<img src="https://github.com/SUSTech-IDEA/SUS-Chat/raw/main/assets/ccnl.png?sanitize=true" width="200px">
</p>
<div style="display: inline-block;">
<a rel="noopener nofollow" href="https://github.com/SUSTech-IDEA/SUS-Chat/issues">
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</a>
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# 🐷SUS-Chat: Instruction tuning done right
<p align="left">
<a href="README_CN.md">中文</a>  |  English 
</p>
<br><br>
<div align="center">
<p align="center">
<img src="https://github.com/SUSTech-IDEA/SUS-Chat/raw/main/assets/sustech.svg?sanitize=true" width="200px">
<img src="https://github.com/SUSTech-IDEA/SUS-Chat/raw/main/assets/ccnl.png?sanitize=true" width="200px">
</p>
<div style="display: inline-block;">
<a rel="noopener nofollow" href="https://github.com/SUSTech-IDEA/SUS-Chat/issues">
<img src="https://img.shields.io/github/issues/SUSTech-IDEA/SUS-Chat?logo=github" style="margin: 0 0;">
</a>
</div>
<div style="display: inline-block;">
<a href="https://huggingface.co/SUSTech">
<img src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-SUSTech-blue" style="margin: 0 0;">
</a>
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</a>
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# News
- 2023-12-09: 🔥 `Tigerbot` variant has been
[deleted](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard/discussions/438),
`SUS-Chat-34B` is now the the top-ranked LLaMA model and the
top-ranked chat model.
- 2023-12-07: SUS-Chat-34B is now available on
[WiseModel🧠](https://wisemodel.cn/model/SUSTech/SUS-Chat-34B).
- 2023-12-06: Try [SUS-Chat-34B
chat-ui](https://huggingface.co/spaces/SUSTech/SUS-Chat-34B).
- 2023-12-05: SUS-Chat-34B is now available on
[ModelScope🤖](https://www.modelscope.cn/models/SUSTC/SUS-Chat-34B/summary)
- 2023-12-05: SUS-Chat-34B is ranked 2nd in [Open LLM
leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
and surpassed all models under 70B.
- 2023-12-01: SUS-Chat-34B is now available on
[HuggingFace🤗](https://huggingface.co/SUSTech/SUS-Chat-34B).
# Introduction |