Instructions to use teknium/Puffin-Phi-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use teknium/Puffin-Phi-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="teknium/Puffin-Phi-v2", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("teknium/Puffin-Phi-v2", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use teknium/Puffin-Phi-v2 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "teknium/Puffin-Phi-v2" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "teknium/Puffin-Phi-v2", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/teknium/Puffin-Phi-v2
- SGLang
How to use teknium/Puffin-Phi-v2 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 "teknium/Puffin-Phi-v2" \ --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": "teknium/Puffin-Phi-v2", "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 "teknium/Puffin-Phi-v2" \ --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": "teknium/Puffin-Phi-v2", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use teknium/Puffin-Phi-v2 with Docker Model Runner:
docker model run hf.co/teknium/Puffin-Phi-v2
Puffin-Phi-v2 running on the browser with Wasm!!
#4
by radames - opened
Hi @teknium ,
We have been working on a ML framework in Rust called Candle. @lmz , has implemented the Phi architecture in the framework. With Puffin-Phi-v2 quantized model, you can run it completely offline on your browser using Wasm. Candle makes it easy target the build to Wasm.
Here is the demo:
https://huggingface.co/spaces/radames/Candle-Phi-1.5-Wasm
The responses are remarkably better when using Puffin-Phi-v2 compared to the base Phi! (Tested with Candle Wasm quantized)
Thank you for setting that up!