CodeLlama 70B - The Best Opensource Coding LLM Beating GPT-4!
AI Summary
Summary: Meta AI’s New Large Language Model - Code Llama
- Introduction to Code Llama:
- Meta AI released a new large language model called Code Llama with 70 billion parameters.
- It is an open-source model that excels in coding capabilities, scoring 67.8 on the HumanEval benchmark.
- Outperforms GPT-4 in coding tasks.
- Three variations available: foundational, Python-focused, and instruct (for natural language instructions).
- Free for research and commercial use.
- Variations of Code Llama:
- Code Llama 70 Billion: The foundational code model.
- Code Llama Python: Specializes in Python and related metrics.
- Code Llama Instruct: Fine-tuned for understanding natural language instructions.
- Capabilities and Evaluation:
- Can generate code and articulate about code from code and natural language prompts.
- Evaluated against HumanEval and MBPP benchmarks.
- Demonstrates superior performance compared to other open-source models and GPT-4.
- Model Availability and Usage:
- Models can be downloaded from Hugging Face and Meta’s request site.
- Supports multiple programming languages including Python, C++, Java, PHP, TypeScript, etc.
- The 70 billion parameter model requires significant computational power, limiting user access.
- Community and Support:
- Patreon page offers subscriptions, resources, networking, and consulting services.
- No research paper yet for the 70 billion parameter model, but a video will be made upon release.
- Final Notes:
- Encourages users to experiment with the model if they have the necessary tech.
- Upcoming content includes further demonstrations and discussions on the model’s capabilities.
For more detailed information, users are directed to check out the provided links and follow on Patreon and Twitter for updates.