AI Briefing#ternary-quantization
The latest AI and developer news about #ternary-quantization, with the original source and a short summary.
The latest AI and developer news about #ternary-quantization, with the original source and a short summary.
Reducing the 30B model size to 10GB and recovering 89.4% of benchmark scores makes it possible to run on a 24GB MacBook.
Recent commits resolve Hadamard sign tensor bottlenecks, allowing full GPU offload and fast CPU prompt ingestion for PQ2_0 models.
A new PTQ methodology is proposed that achieves efficient Ternary Quantization while minimizing accuracy loss through matrix decomposition.