4 papers
DSDE: Dynamic Speculative Decoding with KLD Stability for Real-World Serving
Mingyu Yang, Jae-Young Choi, Kihyo Moon +2
Speculative decoding accelerates large language model inference, but its reliance on a fixed speculation length is suboptimal in large-batch serving environments with diverse reque…
FineServe: Precision-Aware KV Slab and Two-Level Scheduling for Heterogeneous Precision LLM Serving
Kyungmin Bin, Seungbeom Choi, Jimyoung Son +6
Recent advances in Post-Training Quantization (PTQ) techniques have significantly increased demand for serving quantized large language models (LLMs), enabling higher throughput an…
FireQ: Fast INT4-FP8 Kernel and RoPE-aware Quantization for LLM Inference Acceleration
Daehyeon Baek, Jieun Choi, Jimyoung Son +5
As large language models become increasingly prevalent, memory bandwidth constraints significantly limit inference throughput, motivating post-training quantization (PTQ). In this…
LaDiMo: Layer-wise Distillation Inspired MoEfier
Sungyoon Kim, Youngjun Kim, Kihyo Moon +1
The advent of large language models has revolutionized natural language processing, but their increasing complexity has led to substantial training costs, resource demands, and env…