2 papers
cs.CL2025
DeFT: Decoding with Flash Tree-attention for Efficient Tree-structured LLM Inference
Jinwei Yao, Kaiqi Chen, Kexun Zhang +4
Large language models (LLMs) are increasingly employed for complex tasks that process multiple generation calls in a tree structure with shared prefixes of tokens, including few-sh…
cs.DC2024
LoHan: Low-Cost High-Performance Framework to Fine-Tune 100B Model on a Consumer GPU
Changyue Liao, Mo Sun, Zihan Yang +5
Nowadays, AI researchers become more and more interested in fine-tuning a pre-trained LLM, whose size has grown to up to over 100B parameters, for their downstream tasks. One appro…