Been following the infrastructure side of AI more lately and stumbled on this from Zai. They upgraded the network architecture on a thousand-GPU cluster running GLM-5.1 coding inference from the standard ROFT setup to something they built…
model
GLM-5.1-FP8
huggingface.co/zai-org/GLM-5.1-FP8 ↗
1170968 downloads107 likestext-generationtransformers
from the model card
GLM-5.1-FP8 👋 Join our WeChat or Discord community. 📖 Check out the GLM-5.1 blog and GLM-5 Technical report. 📍 Use GLM-5.1 API services on Z.ai API Platform. 🔜 GLM-5.1 will be available on chat.z.ai in the coming days. [Paper] [GitHub] Introduction GLM-5.1 is our next-generation flagship model for agentic engineering, with significantly stronger coding capabilities than its predecessor. It achieves state-of-the-art performance on SWE-Bench Pro and leads GLM-5 by a wide margin on NL2Repo (repo generation) and Terminal-Bench 2.0 (real-world terminal tasks). But the most meaningful leap goes beyond first-pass performance. Previous models—including GLM-5—tend to exhaust their repertoire early: they apply familiar techniques for quick initial gains, then plateau. Giving them more time doesn't help. GLM-5.1, by contrast, is built to stay effective on agentic tasks over much longer horizons. We've found that the model handles ambiguous problems with better judgment and stays productive over longer sessions. It breaks complex problems down, runs experiments, reads results, and identifies blockers with real precision. By revisiting its reasoning and revising its strategy through repeated iteration, GLM-5.1 sustains optimization over hundreds of rounds and thousands of tool calls. The longer it runs, the better the result. Benchmark | | GLM-5.1 | GLM-5 | Qwen3.6-Plus | Minimax M2.7 | Dee…
discussions
- GLM 5.1 3 2026-05-24 – 2026-05-30
recent items
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