Instructions to use tencent/Tencent-Hunyuan-Large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tencent/Tencent-Hunyuan-Large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="tencent/Tencent-Hunyuan-Large")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("tencent/Tencent-Hunyuan-Large", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use tencent/Tencent-Hunyuan-Large with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "tencent/Tencent-Hunyuan-Large" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "tencent/Tencent-Hunyuan-Large", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/tencent/Tencent-Hunyuan-Large
- SGLang
How to use tencent/Tencent-Hunyuan-Large 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 "tencent/Tencent-Hunyuan-Large" \ --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": "tencent/Tencent-Hunyuan-Large", "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 "tencent/Tencent-Hunyuan-Large" \ --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": "tencent/Tencent-Hunyuan-Large", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use tencent/Tencent-Hunyuan-Large with Docker Model Runner:
docker model run hf.co/tencent/Tencent-Hunyuan-Large
Update README.md
#22 opened over 1 year ago
by
davidducmanh0710
Request for MMLU-Pro Subject-wise Breakdown
#21 opened over 1 year ago
by
ubowang
MLX quants
6
#19 opened over 1 year ago
by
ehartford
GGUF model files
1
#17 opened over 1 year ago
by
smcleod
Why do we have model.embed_tokens.weight in both pytorch_model-00001-of-00080.bin and pytorch_model-00062-of-00080.bin
1
#16 opened over 1 year ago
by
Zhiyuan0511
why won't it talk about June 5th, 1989?
🔥 1
4
#15 opened over 1 year ago
by
terminusresearchorg
Safetensor format
2
#14 opened over 1 year ago
by
JustJaro
这个模型得什么配置能运行起来啊
3
#13 opened over 1 year ago
by
demo001s
How to evaluate models
👍 1
#10 opened over 1 year ago
by
ldwang
hunyuan-turbo-latest - Open weights?
👍 4
#9 opened over 1 year ago
by
NSx1
Turkish language problem
#8 opened over 1 year ago
by
omer0909
Add llama.cpp support
👍 20
1
#7 opened over 1 year ago
by
ChuckMcSneed
Hello & Congrats from Hugging Face! 🤗
👍➕ 7
11
#3 opened over 1 year ago
by
reach-vb