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/tools/server/public_simplechat/index.html from AJKADZ/PHI_CODER: direct link, hf CLI and curl.
- Browser
- Download file 2.01 kB
-
https://huggingface.co/AJKADZ/PHI_CODER/resolve/main/phi-coder-hf/llama.cpp/tools/server/public_simplechat/index.html
- Command line
-
hf download hf://AJKADZ/PHI_CODER/phi-coder-hf/llama.cpp/tools/server/public_simplechat/index.html
-
curl -L -o index.html https://huggingface.co/AJKADZ/PHI_CODER/resolve/main/phi-coder-hf/llama.cpp/tools/server/public_simplechat/index.html
2.01 kB
| <html lang="en"> | |
| <head> | |
| <title>SimpleChat LlamaCppEtal </title> | |
| <meta charset="UTF-8" /> | |
| <meta name="viewport" content="width=device-width, initial-scale=1" /> | |
| <meta name="message" content="Save Nature Save Earth" /> | |
| <meta name="description" content="SimpleChat: trigger LLM web service endpoints /chat/completions and /completions, single/multi chat sessions" /> | |
| <meta name="author" content="by Humans for All" /> | |
| <meta http-equiv="Cache-Control" content="no-cache, no-store, must-revalidate" /> | |
| <script type="importmap"> | |
| { | |
| "imports": { | |
| "datautils": "./datautils.mjs", | |
| "ui": "./ui.mjs" | |
| } | |
| } | |
| </script> | |
| <script src="simplechat.js" type="module" defer></script> | |
| <link rel="stylesheet" href="simplechat.css" /> | |
| </head> | |
| <body> | |
| <div class="samecolumn" id="fullbody"> | |
| <div class="sameline" id="heading"> | |
| <p class="heading flex-grow" > <b> SimpleChat </b> </p> | |
| <button id="settings">Settings</button> | |
| </div> | |
| <div id="sessions-div" class="sameline"></div> | |
| <hr> | |
| <div class="sameline"> | |
| <label for="system-in">System</label> | |
| <textarea name="system" id="system-in" rows="2" placeholder="e.g. you are a helpful ai assistant, who provides concise answers" class="flex-grow"></textarea> | |
| </div> | |
| <hr> | |
| <div id="chat-div"> | |
| <p> You need to have javascript enabled.</p> | |
| </div> | |
| <hr> | |
| <div class="sameline"> | |
| <textarea id="user-in" class="flex-grow" rows="2" placeholder="enter your query to the ai model here" ></textarea> | |
| <button id="user-btn">submit</button> | |
| </div> | |
| </div> | |
| </body> | |
| </html> | |