Qwen-2.5 & Coder (Fully Tested) : The BEST Opensource LLMs or NOT SO GOOD? (Beats Llama-3.1?)

Описание к видео Qwen-2.5 & Coder (Fully Tested) : The BEST Opensource LLMs or NOT SO GOOD? (Beats Llama-3.1?)

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In this video, I'll be telling you about the new Qwen 2.5 & Qwen 2.5 Coder models (9 New Models) and I'll be fully testing it and We'll see if it really performs good or not. This is a new model that claims to beat models like Claude, GPT-4O, Llama-3.1, Deepseek and other opensource LLMs while being better. 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.

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Key Takeaways:

🌟 Test Results Breakdown: We tested multiple AI models like 0.5b, 1.5b, 7b, and 72b across various coding challenges like HTML, CSS, Python, and SVG. See which models pass or fail with detailed results.

💥 7b Model Shines: The 7b model consistently performed the best across coding tests, from generating Python scripts to creating landing pages. Discover why it's one of the top models for coding efficiency.

🚀 Coding Models Compared: Want to know how AI coding models like 1.5b, 14b, 32b, and 72b stack up? Watch the comparison of these models to see which one is perfect for your coding tasks.

📉 Large Models Struggle: Surprisingly, larger models like 32b and 72b underperformed in some tests, showing that bigger isn’t always better for coding. Find out why in this deep dive into model performance.

🔍 Detailed Fail/Pass Chart: Get a comprehensive look at which models succeeded and failed across multiple programming tasks, including Python programs, SVG generation, and HTML/CSS tasks.

🖥️ AI for Programmers: Are you a coder or developer looking for AI assistance? This video breaks down which models work best for complex and simple coding tasks, so you know where to invest your time.

💡 Final Verdict on AI Coding Models: Thinking of using AI like 7b or 14b for your next project? Find out which model is the top choice for coders looking to boost productivity without compromising on quality.

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Timestamps:

00:00 - Introduction
01:00 - Qwen 2.5 General (7 Model) Testing
14:38 - Qwen 2.5 Coder (2 Model) Testing
17:19 - Ending

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