wepiqxx

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upvoted 4 papers 17 days ago

The Super Weight in Large Language Models

Paper • 2411.07191 • Published Nov 11, 2024 • 6

Quantization Error Propagation: Revisiting Layer-Wise Post-Training Quantization

Paper • 2504.09629 • Published Apr 13, 2025 • 1

Is (Selective) Round-To-Nearest Quantization All You Need?

Paper • 2505.15909 • Published May 21, 2025 • 1

Quantization Degradation in Large Language Models: A Signal-Noise Perspective

Paper • 2608.08188 • Published Aug 8 • 1

upvoted 2 collections about 2 months ago

NeoHorse-1

Collection

NeoHorse-1-9B is a 9B causal language model and an initial prototype on the path toward recursive self-improvement (RSI). • 1 item • Updated Sep 12 • 1

MERNIK

Collection

Measure-first quantization protocol • 1 item • Updated Sep 12 • 1

upvoted 2 collections 2 months ago

ASHQ1

Collection

post-training quantization method for GGUF models that uses an imatrix-driven priority queue to maximise theoretical quality per megabyte. • 1 item • Updated Sep 6 • 1

Ornith 1.5 & 1.0 ASHQ1

Collection

Ornith-1.5, a major step toward building foundation models through end-to-end self-improvement. • 3 items • Updated Sep 6 • 2