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
- 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/examples/CMakeLists.txt from AJKADZ/PHI_CODER: direct link, hf CLI and curl.
- Browser
- Download file 1.06 kB
-
https://huggingface.co/AJKADZ/PHI_CODER/resolve/main/phi-coder-hf/llama.cpp/examples/CMakeLists.txt
- Command line
-
hf download hf://AJKADZ/PHI_CODER/phi-coder-hf/llama.cpp/examples/CMakeLists.txt
-
curl -L -o CMakeLists.txt https://huggingface.co/AJKADZ/PHI_CODER/resolve/main/phi-coder-hf/llama.cpp/examples/CMakeLists.txt
1.06 kB
| # dependencies | |
| find_package(Threads REQUIRED) | |
| # third-party | |
| # ... | |
| # flags | |
| llama_add_compile_flags() | |
| # examples | |
| if (EMSCRIPTEN) | |
| else() | |
| add_subdirectory(batched) | |
| add_subdirectory(embedding) | |
| add_subdirectory(eval-callback) | |
| add_subdirectory(gguf-hash) | |
| add_subdirectory(gguf) | |
| add_subdirectory(gritlm) | |
| add_subdirectory(lookahead) | |
| add_subdirectory(lookup) | |
| add_subdirectory(parallel) | |
| add_subdirectory(passkey) | |
| add_subdirectory(retrieval) | |
| add_subdirectory(save-load-state) | |
| add_subdirectory(simple) | |
| add_subdirectory(simple-chat) | |
| add_subdirectory(speculative) | |
| add_subdirectory(speculative-simple) | |
| add_subdirectory(gen-docs) | |
| add_subdirectory(training) | |
| add_subdirectory(diffusion) | |
| if (NOT GGML_BACKEND_DL) | |
| add_subdirectory(convert-llama2c-to-ggml) | |
| # these examples use the backends directly and cannot be built with dynamic loading | |
| if (GGML_SYCL) | |
| add_subdirectory(sycl) | |
| endif() | |
| endif() | |
| endif() | |