First local LLM to Beat GPT-4 on Coding | Codellama-70B

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AI Summary

Summary: Meta AI’s CodeLLama 70 Billion Model Release

• Introduction of CodeLlama 70 Billion:
  • Meta AI released Code Llama 70 billion, surpassing GP4 in coding tasks.
  • It’s the largest in the Code Llama series, with an original blog update from August 2024.
• Versions Available:
  • Foundational Code Llama 70 billion model for general tasks.
  • Specialized Python version.
  • Instruct version for natural language instructions.
• Performance:
  • Built on Lama 2 architecture.
  • Outperforms other large language models (LLMs) in coding benchmarks.
  • Scores 77 on HumanEval dataset, higher than GP4’s 67.
• Licensing and Training:
  • Released under the same license as Llama 2 for research and commercial use.
  • Trained on 1 trillion tokens for the 70 billion model.
  • Python version fine-tuned with 100 billion tokens.
  • Instruct version fine-tuned with 5 billion tokens.
• Access and Local Setup:
  • Access requires a request form or available in Hugging Face format.
  • Local setup instructions provided for Linux, with MacOS and Windows support pending.
  • Requires 38 GB of space for the model.
• Demonstration:
  • Showcases the model’s ability to generate code for specific tasks.
  • Example tasks include creating a Fibonacci sequence function and HTML code for a dynamic web page.
• Conclusion:
  • The video promises a future comparison between Code Llama 70 billion and GP4.
  • Encourages suggestions for future content on the model.

Markdown Outline:

## Meta AI's Code Llama 70 Billion Model  
  
### Release Overview  
- **Code Llama 70 Billion Model**: Surpasses GP4 in coding tasks.  
- **Update**: Follow-up to August 2024 blog post.  
  
### Available Versions  
- **Foundational Model**: For general tasks.  
- **Python Version**: Specialized for Python.  
- **Instruct Version**: For natural language instructions.  
  
### Performance and Architecture  
- **Architecture**: Based on Lama 2.  
- **Benchmark**: Scores 77 on HumanEval, above GP4's 67.  
  
### Licensing and Training Data  
- **License**: Same as Lama 2, for various uses.  
- **Training**: 1 trillion tokens for the 70 billion model.  
  
### Access and Setup  
- **Request Form**: Required for direct access.  
- **Local Setup**: Instructions for Linux, with other OS support coming.  
  
### Demonstrations and Use Cases  
- **Code Generation**: Fibonacci sequence and dynamic web page examples.  
  
### Conclusion and Future Content  
- **Comparison**: Upcoming between Code Llama 70 billion and GP4.  
- **Content Suggestions**: Requests for future videos on the model.