GLM 5.2 achieves 79.8% on Terminal-Bench 2.1 with FP8 precision

A user on Reddit shared benchmark results for the GLM 5.2 model, achieving a score of 79.8% on the Terminal-Bench 2.1 test. The user specified that this score was achieved using FP8 precision for both the model weights and the key-value cache, with a setup utilizing sglang on H200 hardware. The benchmark included 89 tasks, with 71 passing and 17 failing, and one task timing out. AI

IMPACT Provides specific performance data for the GLM 5.2 model on a benchmark, useful for researchers and developers evaluating model capabilities.

RANK_REASON User-submitted benchmark results for a specific model version and configuration. [lever_c_demoted from research: ic=1 ai=1.0]

Read on r/LocalLLaMA →

• FP8
• GLM 5.2
• H200
• sglang
• Terminal-Bench 2.1

• model release
• other

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →