Instructions to use QuantFactory/Phi-3-mini-4k-instruct-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use QuantFactory/Phi-3-mini-4k-instruct-GGUF with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf QuantFactory/Phi-3-mini-4k-instruct-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf QuantFactory/Phi-3-mini-4k-instruct-GGUF:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf QuantFactory/Phi-3-mini-4k-instruct-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf QuantFactory/Phi-3-mini-4k-instruct-GGUF:Q4_K_M
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf QuantFactory/Phi-3-mini-4k-instruct-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama cli -hf QuantFactory/Phi-3-mini-4k-instruct-GGUF:Q4_K_M
Use Docker
docker model run hf.co/QuantFactory/Phi-3-mini-4k-instruct-GGUF:Q4_K_M
- Llama new
- LM Studio
- Jan
- vLLM
How to use QuantFactory/Phi-3-mini-4k-instruct-GGUF with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "QuantFactory/Phi-3-mini-4k-instruct-GGUF" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "QuantFactory/Phi-3-mini-4k-instruct-GGUF", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/QuantFactory/Phi-3-mini-4k-instruct-GGUF:Q4_K_M
- Ollama
How to use QuantFactory/Phi-3-mini-4k-instruct-GGUF with Ollama:
ollama run hf.co/QuantFactory/Phi-3-mini-4k-instruct-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use QuantFactory/Phi-3-mini-4k-instruct-GGUF with Docker Model Runner:
docker model run hf.co/QuantFactory/Phi-3-mini-4k-instruct-GGUF:Q4_K_M
- Lemonade
How to use QuantFactory/Phi-3-mini-4k-instruct-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull QuantFactory/Phi-3-mini-4k-instruct-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.Phi-3-mini-4k-instruct-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
How Are End Tokens Managed?
No GGUF of Phi-3 works right in GPT4ALL v2.7.4 or Koboldcpp, including the one released by Microsoft. They all keep talking past the end token, usually displaying "<|end|><|assistant|>" one or more times in the response followed by random nonsense.
Are the end tokens set within GGUF files, or are they handled by the app?
In the case of Phi-3 there's now apparently 3 end tokens after Microsoft edited some files. The end tokens are as follows, along with their tags.
"eos_token_id": [
32000,
32001,
32007
"<|endoftext|>"
"<|assistant|>"
"<|end|>"
These quants were created from microsoft's fp16 file, so would have the same issues as the official ones (which we thought would work)
Will update with the llama.cpp latest release for phi-3-4k support
Here is the updated version QuantFactory/Phi-3-mini-4k-instruct-GGUF-v2
@0-hero Thanks.