Old Zhang's AI Learning
Old Zhang's AI Learning
Feb 16, 2026 · Artificial Intelligence

A New Extreme Quantization Tool for Large Models: AngelSlim’s 2‑Bit Compression

AngelSlim introduces a full‑stack large‑model compression suite that uses quantization‑aware training to shrink a 1.8B LLM to 2‑bit precision, achieving less than 4% accuracy loss, supporting a wide range of models, speculative decoding, and providing end‑to‑end deployment instructions for MacBook M4 and server environments.

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A New Extreme Quantization Tool for Large Models: AngelSlim’s 2‑Bit Compression