Instructions to use nold/Phi-3-mini-4k-instruct-function-calling-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 nold/Phi-3-mini-4k-instruct-function-calling-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 nold/Phi-3-mini-4k-instruct-function-calling-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf nold/Phi-3-mini-4k-instruct-function-calling-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 nold/Phi-3-mini-4k-instruct-function-calling-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf nold/Phi-3-mini-4k-instruct-function-calling-GGUF:Q4_K_M
Use pre-built binary
# 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 nold/Phi-3-mini-4k-instruct-function-calling-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf nold/Phi-3-mini-4k-instruct-function-calling-GGUF:Q4_K_M
Build from source code
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 nold/Phi-3-mini-4k-instruct-function-calling-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf nold/Phi-3-mini-4k-instruct-function-calling-GGUF:Q4_K_M
Use Docker
docker model run hf.co/nold/Phi-3-mini-4k-instruct-function-calling-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use nold/Phi-3-mini-4k-instruct-function-calling-GGUF with Ollama:
ollama run hf.co/nold/Phi-3-mini-4k-instruct-function-calling-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use nold/Phi-3-mini-4k-instruct-function-calling-GGUF with Docker Model Runner:
docker model run hf.co/nold/Phi-3-mini-4k-instruct-function-calling-GGUF:Q4_K_M
- Lemonade
How to use nold/Phi-3-mini-4k-instruct-function-calling-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull nold/Phi-3-mini-4k-instruct-function-calling-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.Phi-3-mini-4k-instruct-function-calling-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Download Phi-3-mini-4k-instruct-function-calling_Q2_K.gguf from nold/Phi-3-mini-4k-instruct-function-calling-GGUF: direct link, hf CLI and curl.
- Browser
- Download file 1.42 GB
-
https://huggingface.co/nold/Phi-3-mini-4k-instruct-function-calling-GGUF/resolve/241dfc55ce1488adb18a8e32c1795b42f8182c6e/Phi-3-mini-4k-instruct-function-calling_Q2_K.gguf
- Command line
-
hf download hf://nold/Phi-3-mini-4k-instruct-function-calling-GGUF@241dfc55ce1488adb18a8e32c1795b42f8182c6e/Phi-3-mini-4k-instruct-function-calling_Q2_K.gguf
-
curl -L -o Phi-3-mini-4k-instruct-function-calling_Q2_K.gguf https://huggingface.co/nold/Phi-3-mini-4k-instruct-function-calling-GGUF/resolve/241dfc55ce1488adb18a8e32c1795b42f8182c6e/Phi-3-mini-4k-instruct-function-calling_Q2_K.gguf
1.42 GB
- Xet hash:
- 1365cca3ec4ffe562d53ff63f2d88ae2261be0cccb824e81b8b9ec0f5931cc89
- Size of remote file:
- 1.42 GB
- SHA256:
- 30b9d974fd0cd4655a86ca0255ee73447282a952b1015a2b633923dd8be63c76
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