CodeGeeX4-9B - The Best Powerful Opensource Coding Model?
AI Summary
Summary: Introduction to Code GX4 Model
- New Model Introduction
- Code GX4: 9 billion parameter model
- Ranks top under 10 billion parameter models
- Outperforms Meta AI’s Code Llama 70 billion parameter model
- Features
- Open-source, multilingual code generation
- Continually trained on GLM 49 billion parameter model
- Capabilities include code completion, generation, and built-in interpreter
- Supports function calling, web search, and repository-level code Q&A
- Demonstrated by coding a snake game in a demo video
- World of AI Solutions Update
- Team of software engineers, machine learning experts, and AI consultants
- Provides AI solutions for businesses and personal use
- Links to contact and Patreon page for subscriptions and consultations
- Model Evaluation
- Powerful performance with a balance between inference and generation effectiveness
- Scores 48.9 and 40.4 on Big Code Bench Complete
- Outperforms models with fewer than 20 billion parameters
- Compatible with both GPU and CPU
- Integrations with IDEs like VS Code and Jetbrains
- Competes with larger models like Llama 370 billion parameter model
- Installation and Testing
- Easy installation via LM Studio
- Can be tested in Hugging Face Spaces
- Successfully generates a Fibonacci sequence and a playable snake game
- Conclusion
- Code GX4 shows exceptional performance in code reasoning and execution
- Only model with built-in function calling capabilities
- Offers practical application and utility in real-world coding scenarios
- Links to resources and encouragement to follow for updates and AI news
Links and Actions
- Check out the Patreon page for subscriptions
- Book a consultation call
- Follow on Twitter for AI news updates
- Subscribe and turn on notifications for the latest AI content