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/webui/src/components/useChatScroll.tsx from AJKADZ/PHI_CODER: direct link, hf CLI and curl.
- Browser
- Download file 1.03 kB
-
https://huggingface.co/AJKADZ/PHI_CODER/resolve/main/phi-coder-hf/llama.cpp/tools/server/webui/src/components/useChatScroll.tsx
- Command line
-
hf download hf://AJKADZ/PHI_CODER/phi-coder-hf/llama.cpp/tools/server/webui/src/components/useChatScroll.tsx
-
curl -L -o useChatScroll.tsx https://huggingface.co/AJKADZ/PHI_CODER/resolve/main/phi-coder-hf/llama.cpp/tools/server/webui/src/components/useChatScroll.tsx
1.03 kB
| import React, { useEffect } from 'react'; | |
| import { throttle } from '../utils/misc'; | |
| export const scrollToBottom = (requiresNearBottom: boolean, delay?: number) => { | |
| const mainScrollElem = document.getElementById('main-scroll'); | |
| if (!mainScrollElem) return; | |
| const spaceToBottom = | |
| mainScrollElem.scrollHeight - | |
| mainScrollElem.scrollTop - | |
| mainScrollElem.clientHeight; | |
| if (!requiresNearBottom || spaceToBottom < 100) { | |
| setTimeout( | |
| () => mainScrollElem.scrollTo({ top: mainScrollElem.scrollHeight }), | |
| delay ?? 80 | |
| ); | |
| } | |
| }; | |
| const scrollToBottomThrottled = throttle(scrollToBottom, 80); | |
| export function useChatScroll(msgListRef: React.RefObject<HTMLDivElement>) { | |
| useEffect(() => { | |
| if (!msgListRef.current) return; | |
| const resizeObserver = new ResizeObserver((_) => { | |
| scrollToBottomThrottled(true, 10); | |
| }); | |
| resizeObserver.observe(msgListRef.current); | |
| return () => { | |
| resizeObserver.disconnect(); | |
| }; | |
| }, [msgListRef]); | |
| } | |