Instructions to use RunsenXu/PointLLM_7B_v1.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RunsenXu/PointLLM_7B_v1.2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="RunsenXu/PointLLM_7B_v1.2")# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("RunsenXu/PointLLM_7B_v1.2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use RunsenXu/PointLLM_7B_v1.2 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "RunsenXu/PointLLM_7B_v1.2" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "RunsenXu/PointLLM_7B_v1.2", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/RunsenXu/PointLLM_7B_v1.2
- SGLang
How to use RunsenXu/PointLLM_7B_v1.2 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 "RunsenXu/PointLLM_7B_v1.2" \ --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": "RunsenXu/PointLLM_7B_v1.2", "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 "RunsenXu/PointLLM_7B_v1.2" \ --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": "RunsenXu/PointLLM_7B_v1.2", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use RunsenXu/PointLLM_7B_v1.2 with Docker Model Runner:
docker model run hf.co/RunsenXu/PointLLM_7B_v1.2
- Xet hash:
- d6f61507778f912f8228940d3e2dd2a2be0557a211fae285f2b41c5fcc8a8cb7
- Size of remote file:
- 568 MB
- SHA256:
- c13ff87ab0da7774e383bc2fecc12c4e4773f80fee01c1fe8ef8148fc63eb9d3
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