Solid 1M Context: A solid 1M-token context that stably sustains long-horizon work Advanced Coding with Flexible Effort: Stronger coding capabilities with multiple thinking effort levels to balance performance and latency Improved Architecture: We propose IndexShare, which reuses the same indexer across every four sparse attention layers, reducing per-token FLOPs by 2.9× at a 1M context length. We also improve GLM-5.2’s MTP layer for speculative decoding, increasing the acceptance length by up to 20% Pure Open: An MIT open-source license — no regional limits, technical access without borders
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Solid 1M Context: A solid 1M-token context that stably sustains long-horizon work Advanced Coding with Flexible Effort: Stronger coding capabilities with multiple thinking effort levels to balance performance and latency Improved Architecture: We propose IndexShare, which reuses the same indexer across every four sparse attention layers, reducing per-token FLOPs by 2.9× at a 1M context length. We also improve GLM-5.2’s MTP layer for speculative decoding, increasing the acceptance length by up to 20% Pure Open: An MIT open-source license — no regional limits, technical access without borders
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01 / About
About GLM-5.2.
02 / Credibility
Derived from Hugging Face, not voted.
Public-signal score — downloads, likes, freshness, license — not a user rating. How scores are calculated.
A
88/100
Hugging Face credibility score
- ✓ Downloads — 220,379 downloads in 30 days (log-damped)
- ✓ Community likes — 3,417 likes (log-damped)
- ✓ Freshness — last updated 3d ago
- ✓ License — license declared
03 / Discussion CREDIBILITY-GATED
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04 / Build
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