Text Generation
Transformers
Safetensors
English
phi3
phi
nlp
math
code
chat
conversational
text-generation-inference
Instructions to use microsoft/phi-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/phi-4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="microsoft/phi-4") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("microsoft/phi-4") model = AutoModelForCausalLM.from_pretrained("microsoft/phi-4") 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]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use microsoft/phi-4 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "microsoft/phi-4" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "microsoft/phi-4", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/microsoft/phi-4
- SGLang
How to use microsoft/phi-4 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 "microsoft/phi-4" \ --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": "microsoft/phi-4", "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 "microsoft/phi-4" \ --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": "microsoft/phi-4", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use microsoft/phi-4 with Docker Model Runner:
docker model run hf.co/microsoft/phi-4
Gustavo de Rosa commited on
Commit ·
492fc70
1
Parent(s): b15fb48
chore(root): Changes pad_token to <|dummy_85|>.
Browse files- config.json +1 -1
- generation_config.json +1 -1
- special_tokens_map.json +1 -1
- tokenizer_config.json +1 -1
config.json
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"num_hidden_layers": 40,
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"num_key_value_heads": 10,
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"original_max_position_embeddings": 16384,
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"pad_token_id":
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"resid_pdrop": 0.0,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"num_hidden_layers": 40,
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"num_key_value_heads": 10,
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"original_max_position_embeddings": 16384,
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"pad_token_id": 100349,
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"resid_pdrop": 0.0,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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generation_config.json
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"_from_model_config": true,
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"bos_token_id": 100257,
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"eos_token_id": 100265,
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"pad_token_id":
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"transformers_version": "4.47.0"
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}
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"_from_model_config": true,
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"bos_token_id": 100257,
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"eos_token_id": 100265,
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"pad_token_id": 100349,
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"transformers_version": "4.47.0"
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}
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special_tokens_map.json
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{
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"bos_token": "<|endoftext|>",
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"eos_token": "<|im_end|>",
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"pad_token": "<|
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}
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{
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"bos_token": "<|endoftext|>",
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"eos_token": "<|im_end|>",
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"pad_token": "<|dummy_85|>"
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}
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tokenizer_config.json
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"clean_up_tokenization_spaces": false,
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"eos_token": "<|im_end|>",
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"model_max_length": 16384,
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"pad_token": "<|
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"tokenizer_class": "GPT2Tokenizer"
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}
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"clean_up_tokenization_spaces": false,
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"eos_token": "<|im_end|>",
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"model_max_length": 16384,
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"pad_token": "<|dummy_85|>",
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"tokenizer_class": "GPT2Tokenizer"
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}
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