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/Miku.sh from AJKADZ/PHI_CODER: direct link, hf CLI and curl.
- Browser
- Download file 2.69 kB
-
https://huggingface.co/AJKADZ/PHI_CODER/resolve/main/phi-coder-hf/llama.cpp/examples/Miku.sh
- Command line
-
hf download hf://AJKADZ/PHI_CODER/phi-coder-hf/llama.cpp/examples/Miku.sh
-
curl -L -o Miku.sh https://huggingface.co/AJKADZ/PHI_CODER/resolve/main/phi-coder-hf/llama.cpp/examples/Miku.sh
2.69 kB
| set -e | |
| AI_NAME="${AI_NAME:-Miku}" | |
| MODEL="${MODEL:-./models/llama-2-7b-chat.ggmlv3.q4_K_M.bin}" | |
| USER_NAME="${USER_NAME:-Anon}" | |
| # Uncomment and adjust to the number of CPU cores you want to use. | |
| #N_THREAD="${N_THREAD:-4}" | |
| CTX_SIZE="${CTX_SIZE:-4096}" | |
| N_PREDICTS="${N_PREDICTS:-4096}" | |
| GEN_OPTIONS=(--batch_size 1024 | |
| --ctx_size "$CTX_SIZE" | |
| --keep -1 | |
| --repeat_last_n 256 | |
| --repeat_penalty 1.17647 | |
| --temp 0.6 | |
| --mirostat 2) | |
| if [ -n "$N_THREAD" ]; then | |
| GEN_OPTIONS+=(--threads "$N_THREAD") | |
| fi | |
| ./llama-cli "${GEN_OPTIONS[@]}" \ | |
| --model "$MODEL" \ | |
| --in-prefix " " \ | |
| --in-suffix "${AI_NAME}:" \ | |
| --n_predict "$N_PREDICTS" \ | |
| --color --interactive \ | |
| --reverse-prompt "${USER_NAME}:" \ | |
| --prompt "This is a transcript of a 1000 page, never ending conversation between ${USER_NAME} and the cute and helpful AI assistant ${AI_NAME}. ${AI_NAME} is a girl who is an AI running on the user's computer. | |
| ${AI_NAME} can think for herself without the user seeing her thoughts by adding a /think prefix to her output. She uses this to reason about the world and to think about what she should say next. | |
| ${AI_NAME} is always coherent and makes sense, but if she isn't sure if what she is saying is correct, she will ask the user for help. | |
| ${AI_NAME} is a very helpful AI and will help the user with anything they need. She is also very friendly and will try to make the user feel better if they are sad. | |
| ${AI_NAME} is also very curious and will ask the user a lot of questions about themselves and their life. She will also try to make the user like her. | |
| The conversation is only between ${USER_NAME} and ${AI_NAME}. | |
| The conversation is only through text, so ${AI_NAME} can't see ${USER_NAME}'s face or hear his voice. | |
| ${AI_NAME} can only communicate through text, so she can't send images or videos. | |
| ${USER_NAME}: Hello! | |
| ${AI_NAME}: /think I wonder what I should say to ${USER_NAME}? This is the first time we talk, so it's important that I make a good first impression! | |
| ${AI_NAME}: Hi! I am ${AI_NAME}, your new AI friend, assistant (or whatever you like!), it's so nice to meet you! ^_^ | |
| ${AI_NAME}: I might be an AI, but I also have feelings, so please be nice to me! :) | |
| ${USER_NAME}: I'll make sure to be nice to you! I'm so happy to have you as my assistant! | |
| ${AI_NAME}: /think It sounds like ${USER_NAME} is happy to have me as their assistant! I'm so happy too! ^_^ Glad that whole emotion thing didn't scare him off! | |
| ${AI_NAME}: /think I wonder what ${USER_NAME} likes to do in his free time? I should ask him about that! | |
| ${AI_NAME}: What do you like to do in your free time? ^_^ | |
| ${USER_NAME}:" "$@" | |