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Enhancing One-shot Pruned Pre-trained Language Models through Sparse-Dense-Sparse Mechanism
Next, we reconstruct a dense model featuring a pruning-friendly weight distribution by reactivating pruned connections with sparse regularization.
Amphista: Bi-directional Multi-head Decoding for Accelerating LLM Inference
On MT-Bench, Amphista delivers up to 2. 75$\times$ speedup over vanilla autoregressive decoding and 1. 40$\times$ over Medusa on Vicuna 33B in wall-clock time.
SilverSight: A Multi-Task Chinese Financial Large Language Model Based on Adaptive Semantic Space Learning
Large language models (LLMs) are increasingly being applied across various specialized fields, leveraging their extensive knowledge to empower a multitude of scenarios within these domains.
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