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Author (@ivanfioravanti) plans to test Unsloth's GLM-5.2 'tomorrow'.

2026-06-18 · 15:33 UTC ·@ivanfioravanti ·0 min read

Brief

The author (@ivanfioravanti) will test Unsloth AI's GLM-5.2 the next day. Unsloth announces a 2-bit quantized GLM-5.2 that reportedly preserves ~82% accuracy after reducing size from 1.51 TB to 238 GB (‑84%), claim it runs locally (256 GB Mac or RAM/VRAM) and provide a guide and GGUF link.

Why it matters

Author (@ivanfioravanti) plans to test Unsloth's GLM-5.2 'tomorrow'.

Key details

  • Unsloth AI claims GLM-5.2's 2-bit quantized model keeps ~82% accuracy after shrinking from 1.51 TB to 238 GB (‑84%), runs locally on a 256 GB Mac or RAM/VRAM setups, and is 'the strongest open model' — guide and GGUF provided.
Source evidence

Tomorrow I’ll test GLM 5.2 by Unsloth too! 🚀

Unsloth AI (@UnslothAI)

GLM-5.2 can now be run locally!🔥

The 2-bit model retains ~82% accuracy after we shrunk it from 1.51TB to 238GB (-84% size).

Run on a 256GB Mac or RAM/VRAM setups.

GLM-5.2 is the strongest open model to date.

Guide: unsloth.ai/docs/models/glm-5…
GGUF: huggingface.co/unsloth/GLM-5…

— https://nitter.net/UnslothAI/status/2067588262156501497#m