Instructions to use SUSTech/SUS-Chat-34B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SUSTech/SUS-Chat-34B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="SUSTech/SUS-Chat-34B")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SUSTech/SUS-Chat-34B", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use SUSTech/SUS-Chat-34B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "SUSTech/SUS-Chat-34B" # 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-34B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/SUSTech/SUS-Chat-34B
- SGLang
How to use SUSTech/SUS-Chat-34B 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-34B" \ --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-34B", "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-34B" \ --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-34B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use SUSTech/SUS-Chat-34B with Docker Model Runner:
docker model run hf.co/SUSTech/SUS-Chat-34B
About Training
#12
by BU5DR1V3R - opened
Hi, I've tested ur model and it worked well. So I'd like to feed some SFT data in specific field. I'm wondering if it is easy to train using the fine-tune script in the repo of Yi-34B? Or it would be really nice if u can provide scripts of SFT/LoRA SUS-Chat! Thanks~