Qwen-2.5 Coder (32B) + Cline & Aider + Free API : This NEW AI Coding Model BEATS Claude 3.5 Sonnet!?
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In this video, I'll be testing the New Qwen-2.5 Coder (32B) model with Cline & Aider with Free API which claims to beat the Claude 3.5 Sonnet (New) model on all benchmarks which seems to be amazing. This is a fully opensource new model that claims to beat Claude 3.5 Sonnet.
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Key Takeaways:
📢 Qwen 2.5 Coder Model Overview – The new Qwen 2.5 Coder AI release includes four exciting new model sizes (0.5B, 3B, 14B, and 32B), with the 32B model positioned as a game-changer for developers seeking open-source coding models.
⚡ Performance Like GPT-4 and Claude 3.5 – The Qwen 32B model matches the coding capabilities of GPT-4O and rivals Claude 3.5 Sonnet, achieving amazing results in benchmarks and making it a top contender in the AI space.
🌐 Supports Over 40 Programming Languages – This versatile AI code model supports more than 40 languages, making it a powerful tool for coders worldwide who want access to multilingual programming support.
💡 Open Source, Apache 2 License Flexibility – Since Qwen operates under the Apache 2 license, it provides freedom for users to leverage its features without restrictions, adding an affordable alternative for those who can’t access proprietary AI models.
💻 Struggles with Tool-Calling and HTML Projects – While the Qwen models excel in benchmarks, they face issues with reliability and tool-calling, especially in projects involving NextJS and HTML, making them less ideal for complex instruction-following.
🔍 Available on HuggingFace & Ollama – Get hands-on experience with Qwen 2.5 Coder using HuggingFace and Ollama, bringing cutting-edge AI straight to your device if you have the right hardware like the NVIDIA RTX 4090.
📉 Not Yet on Par with GPT-4 or Claude Models – Despite the hype, Qwen 2.5 Coder still falls short of GPT-4 and Claude 3.5 in real-world testing, making Haiku and Sonnet still the preferred choice for serious developers.
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Timestamps:
00:00 - About Qwen-2.5 Coder 32B
02:23 - Free API via Hyperbolic
02:48 - Aider LLM Leaderboards
03:06 - Setup & Testing with Cline
07:35 - Setup & Testing with Aider
10:20 - Final Thoughts
12:18 - Ending
