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/scripts/get-pg.sh from AJKADZ/PHI_CODER: direct link, hf CLI and curl.
- Browser
- Download file 1.47 kB
-
https://huggingface.co/AJKADZ/PHI_CODER/resolve/main/phi-coder-hf/llama.cpp/scripts/get-pg.sh
- Command line
-
hf download hf://AJKADZ/PHI_CODER/phi-coder-hf/llama.cpp/scripts/get-pg.sh
-
curl -L -o get-pg.sh https://huggingface.co/AJKADZ/PHI_CODER/resolve/main/phi-coder-hf/llama.cpp/scripts/get-pg.sh
1.47 kB
| function usage { | |
| echo "usage: <n>$0" | |
| echo "note: n is the number of essays to download" | |
| echo "for specific n, the resulting pg.txt file will have the following number of tokens:" | |
| echo "n | tokens" | |
| echo "--- | ---" | |
| echo "1 | 6230" | |
| echo "2 | 23619" | |
| echo "5 | 25859" | |
| echo "10 | 36888" | |
| echo "15 | 50188" | |
| echo "20 | 59094" | |
| echo "25 | 88764" | |
| echo "30 | 103121" | |
| echo "32 | 108338" | |
| echo "35 | 113403" | |
| echo "40 | 127699" | |
| echo "45 | 135896" | |
| exit 1 | |
| } | |
| function has_cmd { | |
| if ! [ -x "$(command -v $1)" ]; then | |
| echo "error: $1 is not available" >&2 | |
| exit 1 | |
| fi | |
| } | |
| # check for: curl, html2text, tail, sed, fmt | |
| has_cmd curl | |
| has_cmd html2text | |
| has_cmd tail | |
| has_cmd sed | |
| if [ $# -ne 1 ]; then | |
| usage | |
| fi | |
| n=$1 | |
| # get urls | |
| urls="$(curl http://www.aaronsw.com/2002/feeds/pgessays.rss | grep html | sed -e "s/.*http/http/" | sed -e "s/html.*/html/" | head -n $n)" | |
| printf "urls:\n%s\n" "$urls" | |
| if [ -f pg.txt ]; then | |
| rm pg.txt | |
| fi | |
| c=1 | |
| for url in $urls; do | |
| echo "processing $url" | |
| cc=$(printf "%03d" $c) | |
| curl -L $url | html2text | tail -n +4 | sed -E "s/^[[:space:]]+//g" | fmt -w 80 >> pg-$cc-one.txt | |
| cat pg-$cc-one.txt >> pg.txt | |
| cp -v pg.txt pg-$cc-all.txt | |
| c=$((c+1)) | |
| # don't flood the server | |
| sleep 1 | |
| done | |
| echo "done. data in pg.txt" | |
| exit 0 | |