Instructions to use sayhan/phi-2-super-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 sayhan/phi-2-super-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 sayhan/phi-2-super-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf sayhan/phi-2-super-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 sayhan/phi-2-super-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf sayhan/phi-2-super-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 sayhan/phi-2-super-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama cli -hf sayhan/phi-2-super-GGUF:Q4_K_M
Use Docker
docker model run hf.co/sayhan/phi-2-super-GGUF:Q4_K_M
- Llama new
- LM Studio
- Jan
- vLLM
How to use sayhan/phi-2-super-GGUF with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "sayhan/phi-2-super-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": "sayhan/phi-2-super-GGUF", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/sayhan/phi-2-super-GGUF:Q4_K_M
- Ollama
How to use sayhan/phi-2-super-GGUF with Ollama:
ollama run hf.co/sayhan/phi-2-super-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use sayhan/phi-2-super-GGUF with Docker Model Runner:
docker model run hf.co/sayhan/phi-2-super-GGUF:Q4_K_M
- Lemonade
How to use sayhan/phi-2-super-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull sayhan/phi-2-super-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.phi-2-super-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Update README.md
Browse files
README.md
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Base Model: [microsoft/phi-2](https://huggingface.co/microsoft/phi-2)
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### MT-bench / heval
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Base Model: [microsoft/phi-2](https://huggingface.co/microsoft/phi-2)
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### Chat template
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The model uses the same chat template as found in Mistral instruct models:
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```python
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text = "<|endoftext|>[INST] What is your favourite condiment? [/INST]"
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"Well, I'm quite partial to a good squeeze of fresh lemon juice. It adds just the right amount of zesty flavour to whatever I'm cooking up in the kitchen!<|endoftext|> "
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"[INST] Do you have mayonnaise recipes? [/INST]"
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```
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### MT-bench / heval
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