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/src/llama-chat.h from AJKADZ/PHI_CODER: direct link, hf CLI and curl.
- Browser
- Download file 1.96 kB
-
https://huggingface.co/AJKADZ/PHI_CODER/resolve/main/phi-coder-hf/llama.cpp/src/llama-chat.h
- Command line
-
hf download hf://AJKADZ/PHI_CODER/phi-coder-hf/llama.cpp/src/llama-chat.h
-
curl -L -o llama-chat.h https://huggingface.co/AJKADZ/PHI_CODER/resolve/main/phi-coder-hf/llama.cpp/src/llama-chat.h
1.96 kB
| enum llm_chat_template { | |
| LLM_CHAT_TEMPLATE_CHATML, | |
| LLM_CHAT_TEMPLATE_LLAMA_2, | |
| LLM_CHAT_TEMPLATE_LLAMA_2_SYS, | |
| LLM_CHAT_TEMPLATE_LLAMA_2_SYS_BOS, | |
| LLM_CHAT_TEMPLATE_LLAMA_2_SYS_STRIP, | |
| LLM_CHAT_TEMPLATE_MISTRAL_V1, | |
| LLM_CHAT_TEMPLATE_MISTRAL_V3, | |
| LLM_CHAT_TEMPLATE_MISTRAL_V3_TEKKEN, | |
| LLM_CHAT_TEMPLATE_MISTRAL_V7, | |
| LLM_CHAT_TEMPLATE_MISTRAL_V7_TEKKEN, | |
| LLM_CHAT_TEMPLATE_PHI_3, | |
| LLM_CHAT_TEMPLATE_PHI_4, | |
| LLM_CHAT_TEMPLATE_FALCON_3, | |
| LLM_CHAT_TEMPLATE_ZEPHYR, | |
| LLM_CHAT_TEMPLATE_MONARCH, | |
| LLM_CHAT_TEMPLATE_GEMMA, | |
| LLM_CHAT_TEMPLATE_ORION, | |
| LLM_CHAT_TEMPLATE_OPENCHAT, | |
| LLM_CHAT_TEMPLATE_VICUNA, | |
| LLM_CHAT_TEMPLATE_VICUNA_ORCA, | |
| LLM_CHAT_TEMPLATE_DEEPSEEK, | |
| LLM_CHAT_TEMPLATE_DEEPSEEK_2, | |
| LLM_CHAT_TEMPLATE_DEEPSEEK_3, | |
| LLM_CHAT_TEMPLATE_COMMAND_R, | |
| LLM_CHAT_TEMPLATE_LLAMA_3, | |
| LLM_CHAT_TEMPLATE_CHATGLM_3, | |
| LLM_CHAT_TEMPLATE_CHATGLM_4, | |
| LLM_CHAT_TEMPLATE_GLMEDGE, | |
| LLM_CHAT_TEMPLATE_MINICPM, | |
| LLM_CHAT_TEMPLATE_EXAONE_3, | |
| LLM_CHAT_TEMPLATE_EXAONE_4, | |
| LLM_CHAT_TEMPLATE_RWKV_WORLD, | |
| LLM_CHAT_TEMPLATE_GRANITE, | |
| LLM_CHAT_TEMPLATE_GIGACHAT, | |
| LLM_CHAT_TEMPLATE_MEGREZ, | |
| LLM_CHAT_TEMPLATE_YANDEX, | |
| LLM_CHAT_TEMPLATE_BAILING, | |
| LLM_CHAT_TEMPLATE_LLAMA4, | |
| LLM_CHAT_TEMPLATE_SMOLVLM, | |
| LLM_CHAT_TEMPLATE_DOTS1, | |
| LLM_CHAT_TEMPLATE_HUNYUAN_MOE, | |
| LLM_CHAT_TEMPLATE_OPENAI_MOE, | |
| LLM_CHAT_TEMPLATE_HUNYUAN_DENSE, | |
| LLM_CHAT_TEMPLATE_KIMI_K2, | |
| LLM_CHAT_TEMPLATE_UNKNOWN, | |
| }; | |
| struct llama_chat_message; | |
| llm_chat_template llm_chat_template_from_str(const std::string & name); | |
| llm_chat_template llm_chat_detect_template(const std::string & tmpl); | |
| int32_t llm_chat_apply_template( | |
| llm_chat_template tmpl, | |
| const std::vector<const llama_chat_message *> & chat, | |
| std::string & dest, bool add_ass); | |