GLM-5.3 open weights released; Unsloth enables local run with 83% size reduction
danielhanchen · x · 2026-08-29
Z.ai open-sourced GLM-5.3, its most capable model (744B params, 40B active), achieving SOTA on Terminal Bench 3.0. Unsloth released a local guide, drastically lowering hardware barriers via dynamic quantization:
- 2-bit Quantization: Reduces model size from 1.51TB to 239GB (-83%) while retaining 81% accuracy.
- Hardware Requirements: The 2-bit version runs on a Mac with 256GB RAM or mixed RAM/VRAM setups (recommended 1x24GB GPU + 256GB RAM).
- Usage: Unsloth Desktop allows toggling between Low/High/Max thinking modes via UI; Max Thinking is recommended for complex coding tasks.
Related event: Z.ai Open-Sources GLM-5.3 and GLM-5.3-Flash(28 posts)→
More from coding & agent
- How to hook Claude Code or Codex up to iMessage in 3 steps — jacob_posel · 2026-10-16
- Are the fastest GPU kernels now written by AI? Kernels are hyper-verifiable, argues one dev — fleetwood___ · 2026-10-16
- Anthropic lead engineer's 4-question prompt makes agents more ambitious, now a free skill — daniel_mac8 · 2026-10-16
- ChainForge dev shows 'feature map' for orchestrating subagents on large PRs — IanArawjo · 2026-10-16
- aiDotEngineer benchmarks agent orchestration pipelines, staging humans as Foreman and workers — vikvang1 · 2026-10-16
- Developer mass-produces 200 videos in hours using Claude Code + Hyperframes — mcraddock · 2026-10-16