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GLM-5.2 Local Performance Benchmarks Shared by Users

Users on the r/LocalLLaMA subreddit are discussing the performance of the GLM-5.2 model when run locally. Participants are sharing their system specifications, including hardware, quantization methods, and context sizes, alongside their observed inference speeds in tokens per second. The goal is to gather data on real-world performance to understand optimal configurations and potential bottlenecks. AI

IMPACT Provides community-driven insights into the practical performance of GLM-5.2, aiding users in local deployment and optimization.

RANK_REASON User-generated discussion and performance sharing about a specific model version, not an official release or benchmark.

Read on r/LocalLLaMA →

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

GLM-5.2 Local Performance Benchmarks Shared by Users

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/neverbyte ·

    GLM 5.2, what speeds are we getting locally?

    <!-- SC_OFF --><div class="md"><p>Can everyone that is able to run GLM 5.2 locally report what their inference engine, system specs, quantization, context size, and tokens/sec? If you're getting great numbers expect follow-up questions. I'll start:</p> <p>llamma.cpp, 6x RTX 3090,…