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/chat-13B.bat from AJKADZ/PHI_CODER: direct link, hf CLI and curl.
- Browser
- Download file 2.51 kB
-
https://huggingface.co/AJKADZ/PHI_CODER/resolve/main/phi-coder-hf/llama.cpp/examples/chat-13B.bat
- Command line
-
hf download hf://AJKADZ/PHI_CODER/phi-coder-hf/llama.cpp/examples/chat-13B.bat
-
curl -L -o chat-13B.bat https://huggingface.co/AJKADZ/PHI_CODER/resolve/main/phi-coder-hf/llama.cpp/examples/chat-13B.bat
2.51 kB
| @setlocal disabledelayedexpansion enableextensions | |
| @echo off | |
| cd /d "%~dp0.." | |
| if not "%errorlevel%"=="0" ( | |
| echo Unable to change directory. | |
| pause | |
| exit /b 1 | |
| ) | |
| if not defined MODEL set "MODEL=models\13B\ggml-model-q4_0.bin" | |
| if not defined USER_NAME set "USER_NAME=User" | |
| if not defined AI_NAME set "AI_NAME=ChatLLaMa" | |
| rem Adjust to the number of CPU cores you want to use. | |
| rem if not defined N_THREAD set "N_THREAD=8" | |
| rem Number of tokens to predict (made it larger than default because we want a long interaction) | |
| if not defined N_PREDICTS set "N_PREDICTS=2048" | |
| if not defined GEN_OPTIONS set "GEN_OPTIONS=--ctx_size 2048 --temp 0.7 --top_k 40 --top_p 0.5 --repeat_last_n 256 --batch_size 1024 --repeat_penalty 1.17647" | |
| rem Default main script paths | |
| set "DEFAULT_MAIN_SCRIPT_PATHS=main.exe build\bin\main.exe" | |
| rem Get main script path from command line arguments | |
| set "MAIN_SCRIPT_PATH=%~1" | |
| rem If the main script path was not specified, try the default paths | |
| if not defined MAIN_SCRIPT_PATH ( | |
| for %%i in (%DEFAULT_MAIN_SCRIPT_PATHS%) do ( | |
| if exist "%%i" set "MAIN_SCRIPT_PATH=%%i" | |
| ) | |
| ) | |
| rem If the main script path was not found, tell the user how to specify it | |
| if not defined MAIN_SCRIPT_PATH ( | |
| echo The main script could not be found. Please provide the path to the main script as 1st argument to this script, or place the main script in one of the default locations: | |
| echo %DEFAULT_MAIN_SCRIPT_PATHS% | |
| pause | |
| exit /b 1 | |
| ) | |
| rem Default context, feel free to edit it | |
| set "PROMPT_TEXT=Text transcript of a never ending dialog, where %USER_NAME% interacts with an AI assistant named %AI_NAME%. %AI_NAME% is helpful, kind, honest, friendly, good at writing and never fails to answer %USER_NAME%'s requests immediately and with details and precision. There are no annotations like (30 seconds passed...) or (to himself), just what %USER_NAME% and %AI_NAME% say aloud to each other. The dialog lasts for years, the entirety of it is shared below. It's 10000 pages long. The transcript only includes text, it does not include markup like HTML and Markdown." | |
| rem Set a temporary variable if N_THREAD is set | |
| if defined N_THREAD ( | |
| set "_N_THREAD=--threads %N_THREAD%" | |
| ) else ( | |
| set "_N_THREAD=" | |
| ) | |
| rem Run the script | |
| echo "%MAIN_SCRIPT_PATH%" %GEN_OPTIONS% %_N_THREAD% ^ | |
| --model "%MODEL%" ^ | |
| --n_predict %N_PREDICTS% ^ | |
| --color --interactive ^ | |
| --reverse-prompt "%USER_NAME%:" ^ | |
| --prompt "%PROMPT_TEXT%" | |