Instructions to use AJKADZ/PHI_CODER 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 AJKADZ/PHI_CODER 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 AJKADZ/PHI_CODER:Q4_K_M # Run inference directly in the terminal: llama cli -hf AJKADZ/PHI_CODER:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf AJKADZ/PHI_CODER:Q4_K_M # Run inference directly in the terminal: llama cli -hf AJKADZ/PHI_CODER: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 AJKADZ/PHI_CODER:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf AJKADZ/PHI_CODER: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 AJKADZ/PHI_CODER:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf AJKADZ/PHI_CODER:Q4_K_M
Use Docker
docker model run hf.co/AJKADZ/PHI_CODER:Q4_K_M
- Llama new
- LM Studio
- Jan
- Ollama
How to use AJKADZ/PHI_CODER with Ollama:
ollama run hf.co/AJKADZ/PHI_CODER:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use AJKADZ/PHI_CODER with Docker Model Runner:
docker model run hf.co/AJKADZ/PHI_CODER:Q4_K_M
- Lemonade
How to use AJKADZ/PHI_CODER with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull AJKADZ/PHI_CODER:Q4_K_M
Run and chat with the model
lemonade run user.PHI_CODER-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Download phi-coder-hf/llama.cpp/.github/workflows/build-cmake-pkg.yml from AJKADZ/PHI_CODER: direct link, hf CLI and curl.
- Browser
- Download file 1.82 kB
-
https://huggingface.co/AJKADZ/PHI_CODER/resolve/main/phi-coder-hf/llama.cpp/.github/workflows/build-cmake-pkg.yml
- Command line
-
hf download hf://AJKADZ/PHI_CODER/phi-coder-hf/llama.cpp/.github/workflows/build-cmake-pkg.yml
-
curl -L -o build-cmake-pkg.yml https://huggingface.co/AJKADZ/PHI_CODER/resolve/main/phi-coder-hf/llama.cpp/.github/workflows/build-cmake-pkg.yml
1.82 kB
| name: Build relocatable cmake package | |
| on: | |
| workflow_dispatch: | |
| workflow_call: | |
| jobs: | |
| linux: | |
| runs-on: ubuntu-24.04 | |
| steps: | |
| - uses: actions/checkout@v4 | |
| with: | |
| fetch-depth: 0 | |
| - name: Install dependencies | |
| run: | | |
| sudo apt update | |
| sudo apt install -y build-essential tcl | |
| - name: Build | |
| run: | | |
| PREFIX="$(pwd)"/inst | |
| cmake -S . -B build -DCMAKE_PREFIX_PATH="$PREFIX" \ | |
| -DLLAMA_CURL=OFF -DLLAMA_BUILD_TESTS=OFF -DLLAMA_BUILD_TOOLS=OFF \ | |
| -DLLAMA_BUILD_EXAMPLES=OFF -DCMAKE_BUILD_TYPE=Release | |
| cmake --build build --config Release | |
| cmake --install build --prefix "$PREFIX" --config Release | |
| export LLAMA_CONFIG="$PREFIX"/lib/cmake/llama/llama-config.cmake | |
| tclsh <<'EOF' | |
| set build(commit) [string trim [exec git rev-parse --short HEAD]] | |
| set build(number) [string trim [exec git rev-list --count HEAD]] | |
| set build(version) "0.0.$build(number)" | |
| set llamaconfig [read [open "$env(LLAMA_CONFIG)" r]] | |
| set checks [list "set\\(LLAMA_VERSION \\s+$build(version)\\)" \ | |
| "set\\(LLAMA_BUILD_COMMIT\\s+$build(commit)\\)" \ | |
| "set\\(LLAMA_BUILD_NUMBER\\s+$build(number)\\)"] | |
| puts -nonewline "Checking llama-config.cmake version... " | |
| foreach check $checks { | |
| if {![regexp -expanded -- $check $llamaconfig]} { | |
| puts "\"$check\" failed!" | |
| exit 1 | |
| } | |
| } | |
| puts "success." | |
| EOF | |
| cd examples/simple-cmake-pkg | |
| cmake -S . -B build -DCMAKE_PREFIX_PATH="$PREFIX"/lib/cmake | |
| cmake --build build | |