@mylifcc highlighted China Telecom AI’s open-source Xing4.0-29B-A4B (TeleChat lineage; HF XingChen-AGI/Xing4.0-29B-A4B, Apache-2.0): 29B total / 4B active per token with native 256K context. The model card reports SWE-bench Verified 75.0 and Terminal-Bench 2.1 57.50, claims agent-framework alignment (OpenCode / Claude Code), and was trained end-to-end on Ascend NPUs with MindSpore.

Key Takeaways

  • ✓HF XingChen-AGI/Xing4.0-29B-A4B (Apache-2.0): 29B/4B MoE, 256K context.
  • ✓Card scores: SWE-bench Verified 75.0; Terminal-Bench 2.1 57.50.
  • ✓Trained on Ascend+MindSpore; claims OpenCode / Claude Code agent-framework alignment.
China Telecom open-sources Xing4.0-29B-A4B: 29B/4B MoE, SWE-bench Verified 75.0, Ascend-trained
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Key Decision Metrics at a Glance

TL;DR Verdict
🏆 Benchmark RankRank
Card scores: SWE-bench Verified 75.0; Terminal-Bench 2.1 57.50.
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