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Deepseek v3 0324: Finally, the Sonnet 3.5 at Home
- Deepseek released the new v3 o324 silently without much marketing, showcasing a 641GB MIT-licensed base model.
- The v3 o324 model is a significant upgrade over the previous v3, with improved reasoning capabilities, code generation, and better user intention comprehension through RL training with GRPO.
- It outperforms Claude 3.5 Sonnet on many tasks and excels in several benchmarks, making it a top-performing non-reasoning model on various real-world coding tasks.
- The model has an MIT license, is freely available, allows for training opt-out, and is noted for its exceptional price-to-performance ratio.
- Improvements in reasoning capabilities include better performance on benchmarks like MMLU-Pro, GPQA, AIME, and LiveCodeBench.
- The model also excels in front-end development, Chinese writing, analysis, and research capabilities.
- Deepseek v3 o324 ranks high on various private benchmarks, often surpassing Claude Sonnet models and achieving notable performance jumps in evaluations like Misguided Attention.
- The model exhibits signs of improved reasoning capabilities, showing promising performance in GRPO training for better reasoning.
- Running the model locally is feasible, with options like mlx-lm and LLM MLX for quick deployment on machines like a 512 GB MacBook.
- Real-world performance showcases the model's superiority over competitors like Claude Sonnet, with users creating diverse applications and games using the Deepseek v3 o324.
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