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GLM-5.2 (744B MoE) runs on consumer hardware with 25GB RAM

A user has successfully run the GLM-5.2 model, which has 744 billion parameters and uses a Mixture-of-Experts (MoE) architecture, on a consumer-grade machine with only 25GB of RAM. This achievement demonstrates the increasing efficiency and accessibility of large language models, allowing them to be utilized on less powerful hardware than previously thought possible. AI

IMPACT Demonstrates increased efficiency and accessibility of large language models for consumer hardware.

RANK_REASON User successfully runs a large model on consumer hardware, indicating improved efficiency and accessibility.

Read on r/LocalLLaMA →

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

GLM-5.2 (744B MoE) runs on consumer hardware with 25GB RAM

COVERAGE [1]

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

    GLM-5.2 (744B MoE) on a 25GB-RAM consumer machine

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1us5m0g/glm52_744b_moe_on_a_25gbram_consumer_machine/"> <img alt="GLM-5.2 (744B MoE) on a 25GB-RAM consumer machine" src="https://external-preview.redd.it/NNWlLPxzyXhbyIUMuz2mW9zvetk56LAOcSGVs0rdPqY.png?width=…