In this video, I'll be talking about the new Gemma-2 (2B) model. It's the new smallest model that works even without GPU. But, Is it really that good?. I'll be testing it out today to answer that question. This is a new model that claims to beat models like Llama-3.1, Qwen2, Deepseek and other opensource LLMs while being smaller. I'll be testing it out in this video. Watch the video to find more about this new model. It also beats Qwen-2, DeepSeek Coder, Codestral in all kinds of coding tasks.

-------
Key Takeaways:

🌟 New AI Models: Google's new 2B parameter model claims to outperform GPT-3.5 Turbo, Llama-2, and Gemma 1.1.

🚫 Benchmark Issues: Despite high benchmark scores, these models often fail real-world questions, suggesting they're only trained for benchmarks.

🤔 Elo Score Concerns: Google's use of Elo scores to compare AI models can be misleading, as it doesn't provide comprehensive benchmark comparisons.

💻 Testing on Nvidia NIMs: The 2B parameter model is available on Ollama and Nvidia NIMs platforms, but local configuration might be necessary for optimal use.

📉 Performance Fails: In testing, the model failed various tasks, including Python functions, HTML coding, and logical questions, questioning its real-world applicability.

🔄 Comparison with Smaller Models: Smaller AI models like Qwen-2 1.5b and Phi-3 mini are recommended for better performance on most devices.

💬 User Feedback: Share your thoughts on Google's AI models in the comments, and consider supporting the channel through the Super Thanks option!

--------
Timestamps:

00:00 - Introduction
00:28 - New Gemma-2 (2B) model
02:21 - Testing
05:53 - Conclusion

свернуть