Tips on improving your GitHub repository organization and structure. Bullet Points:
- Create meaningful branch names - Use descriptive commit messages - Keep a clean project history
- Separate your code into well-organized directories - Follow a consistent naming convention - Make use of pull requests
- Collaborate effectively by writing clear documentation - Maintain good communication within your team Keywords: GitHub, repository best practices, organization, structure, branch names, commit messages, project history, directories, naming conventions, pull requests, collaboration, documentation, effective communication
llm-tool provides a command-line utility for running large language models locally. It includes scripts for pulling models from the internet, starting them, and managing them using various commands such as 'run', 'ps', 'kill', 'rm', and 'pull'. Additionally, it offers a Python script named 'querylocal.py' for querying these models. The repository also come
- create a custom base image for a Cloud Workstation environment using a Dockerfile
. Uses:
Quantized models from
- New apps and asset packs added, including BT Trigger, EM4100 Generator, and GPIO Controller
- Updates to Infrared, NFC, SubGhz, and UL features and functionalities
- Fixes for various issues, including NFC-V dumps crashing and MyKey production date parsing
- Removal of certain apps, such as Brainfuck and Mandelbrot Set
- Known issues with refactored stack regressions in NFC, including broken apps and missing extra actions