AI Disruption

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ByteSeed Debuts Open-Source Code Model with SOTA Performance
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ByteSeed Debuts Open-Source Code Model with SOTA Performance

ByteDance's Seed-Coder: Open-source 8B code model beats Qwen3 & DeepSeek-R1, achieves SOTA with self-curated data.

Meng Li's avatar
Meng Li
May 12, 2025
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ByteSeed Debuts Open-Source Code Model with SOTA Performance
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Seed Coder 8B: El Nuevo LLM Open Source que Supera a Modelos Gigantes en  Tareas de Código

ByteDance's Seed Releases Its First Open-Source Code Model!

Seed-Coder, an 8B-scale model, surpasses Qwen3 and achieves multiple SOTA results.

It demonstrates that "with minimal human involvement, LLMs can autonomously manage code training data."

By self-generating and filtering high-quality training data, the model significantly enhances its code generation capabilities.

performance

This can be seen as an extension of DeepSeek-R1's strategy for self-generating and filtering training data.

The model comes in three versions:

  • Base

  • Instruct

  • Reasoning

Among them, the Instruct version excels in programming, securing SOTA results on two benchmark tests.

Performance of instruct models on SWE-bench Verified and Multi-SWE-bench mini

The Reasoning version outperforms QwQ-32B and DeepSeek-R1 on IOI 2024.

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