How to use ddh0/phi-2-GGUF-fp16 with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="ddh0/phi-2-GGUF-fp16", filename="phi-2-fp16.gguf", )
output = llm( "Once upon a time,", max_tokens=512, echo=True ) print(output)
How to use ddh0/phi-2-GGUF-fp16 with llama.cpp:
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf ddh0/phi-2-GGUF-fp16 # Run inference directly in the terminal: llama-cli -hf ddh0/phi-2-GGUF-fp16
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf ddh0/phi-2-GGUF-fp16 # Run inference directly in the terminal: llama-cli -hf ddh0/phi-2-GGUF-fp16
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf ddh0/phi-2-GGUF-fp16 # Run inference directly in the terminal: ./llama-cli -hf ddh0/phi-2-GGUF-fp16
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf ddh0/phi-2-GGUF-fp16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf ddh0/phi-2-GGUF-fp16
docker model run hf.co/ddh0/phi-2-GGUF-fp16
How to use ddh0/phi-2-GGUF-fp16 with vLLM:
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "ddh0/phi-2-GGUF-fp16" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ddh0/phi-2-GGUF-fp16", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'
How to use ddh0/phi-2-GGUF-fp16 with Ollama:
ollama run hf.co/ddh0/phi-2-GGUF-fp16
How to use ddh0/phi-2-GGUF-fp16 with Unsloth Studio:
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for ddh0/phi-2-GGUF-fp16 to start chatting
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for ddh0/phi-2-GGUF-fp16 to start chatting
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for ddh0/phi-2-GGUF-fp16 to start chatting
How to use ddh0/phi-2-GGUF-fp16 with Docker Model Runner:
How to use ddh0/phi-2-GGUF-fp16 with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull ddh0/phi-2-GGUF-fp16
lemonade run user.phi-2-GGUF-fp16-{{QUANT_TAG}}
lemonade list
This is Microsoft's Phi-2, converted to GGUF without quantization. No other changes were made.
The model was converted using convert-hf-to-gguf.py from Georgi Gerganov's llama.cpp repo, release b1671.
convert-hf-to-gguf.py
b1671
All credit belongs to Microsoft for training and releasing this model. Thank you!
We're not able to determine the quantization variants.
