SteerDistill Keeps Quantized LLM Agents Sharp via Teacher Guidance

Tsinghua AIR and collaborators proposed SteerDistill, a quantization-aware distillation method where a frozen BF16 teacher progressively guides a quantized student agent on failures, recovering task success rates with under 1 point drop at W4A16.

2026-11-12 ~ 2026-11-12 · 2 related posts

• SteerDistill: closed-loop teacher steering recovers quantized LLM agent performance — Genming Cui · 2026-11-12
• SteerDistill: teacher-guided quantization keeps W4A16 agents within 1 point of BF16 — _akhaliq · 2026-11-12