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How SteerDistill Shrinks 30‑Billion‑Parameter LLMs to 3 GB Without Losing Accuracy

SteerDistill — How Closed‑Loop Teacher Steering Rescues Quantized LLM Agents Lead “Quantizing a 30‑billion‑parameter agent drops its success rate by 20 %—that’s the headline most engineers see.” Yet the arXiv pre‑print released on 10 Nov 2026 flips that narrative. The authors demonstrate a closed‑l…

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  1. 2026-11-12 20:15 · DEV Community — AI
    How SteerDistill Shrinks 30‑Billion‑Parameter LLMs to 3 GB Without Losing Accuracy

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