AINewsnow

Running GLM-5.3-Flash Locally: Memory Budgets, Runtime Choices, and Working Commands

This story is from 2026-09-24. It is preserved in the archive; the latest stories are on the live feed.

The first number I would check before deploying GLM-5.3-Flash is 306 GiB : the approximate size of its native FP8 weights. Its 18B active parameters per token describe compute usage, but the full model has about 320B parameters that still need somewhere to live. The weights are available under the…

Read the full story at DEV Community — AI ↗

Timeline · 1 report

  1. 2026-09-24 08:33 · DEV Community — AI
    Running GLM-5.3-Flash Locally: Memory Budgets, Runtime Choices, and Working Commands

More stories

  1. Kyutai Releases Voice of Reason: A Speech-Native Model that Solves Spoken Math with Reinforcement Learning — MarkTechPost
  2. The secret behind Meta’s Muse — Marcus on AI (Gary Marcus)
  3. Jev's calibration was measured. The LLMs won [D] — r/MachineLearning
  4. 299 real user intents tested Jev against production base line. Here is the result. — r/AI_Agents
  5. MiMo-V2.6-Flash on vLLM: fixes for "empty responses" with thinking + tools, and a hidden 2,048-token output cap — r/LocalLLaMA
  6. GLM 5.3 now available in Mistral Vibe Code for Pro, Team and Enterprise — r/ChatGPTCoding
  7. Z.ai disables coding assistant feature after flaw exposed enterprise code upload risk — InfoWorld AI
  8. Zhipu says ZCode removed repository-upload paths after data controversy — TechNode

Get the daily brief of stories like this at 6:30 every morning →