Llava 34B Released! Exceeding Gemini Pro in Performance Benchmarks?
AI Summary
Lava 34 Billion Parameter Model Overview
- Introduction
- Lava 34 billion parameter model surpasses Gemini Pro in benchmarks.
- Features improved reasoning, OCR, and World Knowledge.
- Input image resolution increased to four times more pixels.
- Enhanced visual reasoning and OCR for more scenarios.
- Efficient deployment and inference with Lava 1.6.
- Capabilities
- Multimodal model handling text and images.
- Best performance compared to open-source LLMs.
- Zero-shot Chinese capability.
- Low training cost, 100 to 1000 times smaller than competitors.
- Performance Comparison
- Outperforms Gemini Pro in most benchmarks.
- Scores: 47.9 vs. 51.1, 45.2 vs. 46.5, 73.6 vs. 79.3.
- Setup Guide
- Clone the repository and follow the provided steps.
- Install necessary packages and set up the environment.
- Configure the controller, worker, and Gradio interface.
- Usage Demonstration
- Demonstrates the model’s ability to interpret images and text.
- Shows the model’s OCR capabilities in various scenarios.
- Tests multilingual OCR with Tamil script (not fully successful).
- Conclusion
- Encourages viewers to subscribe for more AI-related content.
- Invites users to like, share, and subscribe to the YouTube channel.
- Additional Notes
- Future updates on the 34 billion parameter model expected.
- Instructions and commands available in the video description and Git repo.