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/pyproject.toml from AJKADZ/PHI_CODER: direct link, hf CLI and curl.
- Browser
- Download file 1.38 kB
-
https://huggingface.co/AJKADZ/PHI_CODER/resolve/main/phi-coder-hf/llama.cpp/pyproject.toml
- Command line
-
hf download hf://AJKADZ/PHI_CODER/phi-coder-hf/llama.cpp/pyproject.toml
-
curl -L -o pyproject.toml https://huggingface.co/AJKADZ/PHI_CODER/resolve/main/phi-coder-hf/llama.cpp/pyproject.toml
1.38 kB
| [tool.poetry] | |
| name = "llama-cpp-scripts" | |
| version = "0.0.0" | |
| description = "Scripts that ship with llama.cpp" | |
| authors = ["GGML <ggml@ggml.ai>"] | |
| readme = "README.md" | |
| homepage = "https://ggml.ai" | |
| repository = "https://github.com/ggml-org/llama.cpp" | |
| keywords = ["ggml", "gguf", "llama.cpp"] | |
| packages = [{ include = "*.py", from = "." }] | |
| classifiers = [ | |
| "Programming Language :: Python :: 3", | |
| "License :: OSI Approved :: MIT License", | |
| "Operating System :: OS Independent", | |
| ] | |
| [tool.poetry.dependencies] | |
| python = ">=3.9" | |
| numpy = "^1.25.0" | |
| sentencepiece = ">=0.1.98,<=0.2.0" | |
| transformers = ">=4.35.2,<5.0.0" | |
| protobuf = ">=4.21.0,<5.0.0" | |
| gguf = { path = "./gguf-py" } | |
| torch = { version = "^2.2.0", source = "pytorch" } | |
| [tool.poetry.dev-dependencies] | |
| pytest = "^5.2" | |
| # Force wheel + cpu | |
| # For discussion and context see https://github.com/python-poetry/poetry#6409 | |
| [[tool.poetry.source]] | |
| name = "pytorch" | |
| url = "https://download.pytorch.org/whl/cpu" | |
| priority = "explicit" | |
| [build-system] | |
| requires = ["poetry-core>=1.0.0"] | |
| build-backend = "poetry.core.masonry.api" | |
| [tool.poetry.scripts] | |
| llama-convert-hf-to-gguf = "convert_hf_to_gguf:main" | |
| llama-convert-lora-to-gguf = "convert_lora_to_gguf:main" | |
| llama-convert-llama-ggml-to-gguf = "convert_llama_ggml_to_gguf:main" | |
| llama-ggml-vk-generate-shaders = "ggml_vk_generate_shaders:main" | |