Text Generation
Transformers
Safetensors
English
phi3
home-assistant
phi-4
iot
function-calling
smart-home
conversational
text-generation-inference
Instructions to use TitleOS/HomePhi4_4B_FP16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TitleOS/HomePhi4_4B_FP16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="TitleOS/HomePhi4_4B_FP16") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("TitleOS/HomePhi4_4B_FP16") model = AutoModelForCausalLM.from_pretrained("TitleOS/HomePhi4_4B_FP16", device_map="auto") messages = [ {"role": "user", "content": "Who are you?"}, ] inputs = tokenizer.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use TitleOS/HomePhi4_4B_FP16 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "TitleOS/HomePhi4_4B_FP16" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "TitleOS/HomePhi4_4B_FP16", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/TitleOS/HomePhi4_4B_FP16
- SGLang
How to use TitleOS/HomePhi4_4B_FP16 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 "TitleOS/HomePhi4_4B_FP16" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "TitleOS/HomePhi4_4B_FP16", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'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 "TitleOS/HomePhi4_4B_FP16" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "TitleOS/HomePhi4_4B_FP16", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use TitleOS/HomePhi4_4B_FP16 with Docker Model Runner:
docker model run hf.co/TitleOS/HomePhi4_4B_FP16
Upload SUPPORT.md with huggingface_hub
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# TODO: The maintainer of this repo has not yet edited this file
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**REPO OWNER**: Do you want Customer Service & Support (CSS) support for this product/project?
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- **No CSS support:** Fill out this template with information about how to file issues and get help.
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- **Yes CSS support:** Fill out an intake form at [aka.ms/onboardsupport](https://aka.ms/onboardsupport). CSS will work with/help you to determine next steps.
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- **Not sure?** Fill out an intake as though the answer were "Yes". CSS will help you decide.
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*Then remove this first heading from this SUPPORT.MD file before publishing your repo.*
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# Support
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## How to file issues and get help
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This project uses GitHub Issues to track bugs and feature requests. Please search the existing
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issues before filing new issues to avoid duplicates. For new issues, file your bug or
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feature request as a new Issue.
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For help and questions about using this project, please **REPO MAINTAINER: INSERT INSTRUCTIONS HERE
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FOR HOW TO ENGAGE REPO OWNERS OR COMMUNITY FOR HELP. COULD BE A STACK OVERFLOW TAG OR OTHER
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CHANNEL. WHERE WILL YOU HELP PEOPLE?**.
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## Microsoft Support Policy
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Support for this **PROJECT or PRODUCT** is limited to the resources listed above.
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