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In this video, I'll be telling you about Deepseek's Distilled-R1 model that include Qwen-2.5, Llama 3.3 Fine tunes which all are great. You can also use these models and get amazing results locally. It beats O3 Mini, O1 mini and more.
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Key Takeaways:
🚀 Deepseek R1 Model is a Game-Changer: The new R1 model (671B parameters) showcases next-gen AI capabilities, but it's best suited for cloud setups due to its size.
🧠 Distilled Models for Local Use: Deepseek also released 6 distilled models, optimized for smaller setups with synthetic data and long-chain reasoning, making them ideal for local use.
🌟 Qwen 2.5 32B Dominates Benchmarks: The Qwen 2.5 32B model outperforms O1 Mini in benchmarks and runs smoothly on systems with 16GB or 32GB RAM.
⚡ Llama Models Are Good but Not the Best: While Llama 3.3 70B is powerful, Qwen models outperform in reasoning tasks. Still, Llama shines in resource-heavy scenarios.
💾 Smaller Models for Low-Memory Devices: Qwen 14B and 7B are excellent for systems with limited memory, offering impressive results in AI benchmarks.
🔧 Easy Access on Ollama: All distilled models can be accessed and deployed effortlessly on Ollama, making AI experimentation simple for everyone.
🎯 Perfect for Developers and AI Enthusiasts: Whether you're testing AI reasoning, coding tasks, or creative projects like HTML or Python scripts, these models deliver standout performance.
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Timestamps:
00:00 - Introduction
02:36 - NinjaChat (Sponsor)
03:43 - Testing
09:06 - Charts, Thoughts
10:03 - Ending
