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/.devops/tools.sh from AJKADZ/PHI_CODER: direct link, hf CLI and curl.
- Browser
- Download file 2.25 kB
-
https://huggingface.co/AJKADZ/PHI_CODER/resolve/main/phi-coder-hf/llama.cpp/.devops/tools.sh
- Command line
-
hf download hf://AJKADZ/PHI_CODER/phi-coder-hf/llama.cpp/.devops/tools.sh
-
curl -L -o tools.sh https://huggingface.co/AJKADZ/PHI_CODER/resolve/main/phi-coder-hf/llama.cpp/.devops/tools.sh
2.25 kB
| set -e | |
| # Read the first argument into a variable | |
| arg1="$1" | |
| # Shift the arguments to remove the first one | |
| shift | |
| if [[ "$arg1" == '--convert' || "$arg1" == '-c' ]]; then | |
| exec python3 ./convert_hf_to_gguf.py "$@" | |
| elif [[ "$arg1" == '--quantize' || "$arg1" == '-q' ]]; then | |
| exec ./llama-quantize "$@" | |
| elif [[ "$arg1" == '--run' || "$arg1" == '-r' ]]; then | |
| exec ./llama-cli "$@" | |
| elif [[ "$arg1" == '--bench' || "$arg1" == '-b' ]]; then | |
| exec ./llama-bench "$@" | |
| elif [[ "$arg1" == '--perplexity' || "$arg1" == '-p' ]]; then | |
| exec ./llama-perplexity "$@" | |
| elif [[ "$arg1" == '--all-in-one' || "$arg1" == '-a' ]]; then | |
| echo "Converting PTH to GGML..." | |
| for i in $(ls $1/$2/ggml-model-f16.bin*); do | |
| if [ -f "${i/f16/q4_0}" ]; then | |
| echo "Skip model quantization, it already exists: ${i/f16/q4_0}" | |
| else | |
| echo "Converting PTH to GGML: $i into ${i/f16/q4_0}..." | |
| exec ./llama-quantize "$i" "${i/f16/q4_0}" q4_0 | |
| fi | |
| done | |
| elif [[ "$arg1" == '--server' || "$arg1" == '-s' ]]; then | |
| exec ./llama-server "$@" | |
| else | |
| echo "Unknown command: $arg1" | |
| echo "Available commands: " | |
| echo " --run (-r): Run a model previously converted into ggml" | |
| echo " ex: -m /models/7B/ggml-model-q4_0.bin -p \"Building a website can be done in 10 simple steps:\" -n 512" | |
| echo " --bench (-b): Benchmark the performance of the inference for various parameters." | |
| echo " ex: -m model.gguf" | |
| echo " --perplexity (-p): Measure the perplexity of a model over a given text." | |
| echo " ex: -m model.gguf -f file.txt" | |
| echo " --convert (-c): Convert a llama model into ggml" | |
| echo " ex: --outtype f16 \"/models/7B/\" " | |
| echo " --quantize (-q): Optimize with quantization process ggml" | |
| echo " ex: \"/models/7B/ggml-model-f16.bin\" \"/models/7B/ggml-model-q4_0.bin\" 2" | |
| echo " --all-in-one (-a): Execute --convert & --quantize" | |
| echo " ex: \"/models/\" 7B" | |
| echo " --server (-s): Run a model on the server" | |
| echo " ex: -m /models/7B/ggml-model-q4_0.bin -c 2048 -ngl 43 -mg 1 --port 8080" | |
| fi | |