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20182026
most citedPQK: Model Compression via Pruning, Quantization, and Knowledge Distillation

3 citations · 12 across the 10 of their papers we have counts for

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cs.CL2024

Crayon: Customized On-Device LLM via Instant Adapter Blending and Edge-Server Hybrid Inference

Jihwan Bang, Juntae Lee, Kyuhong Shim +2

The customization of large language models (LLMs) for user-specified tasks gets important. However, maintaining all the customized LLMs on cloud servers incurs substantial memory a…