Budget-Aware Compression Pipeline for Single-GPU LLM Inference: Methods, Trade-offs, and Coupling Effects

arXiv:2608.30076 · cs.CL · Submitted 2026-08-30 · Read on arXiv

cs.CL

Submitted: 2026-08-30

Updated: 2026-09-03

Terminology

• Pruning — 72× in this paper · explained in 4 episodes
• Quantization — 58× in this paper · explained in 12 episodes
• Accuracy — 18× in this paper · explained in 1 episode
• KV cache — 11× in this paper · explained in 3 episodes
• Perplexity — 11× in this paper · explained in 3 episodes
• Sparsity — 10× in this paper · explained in 4 episodes
• Benchmark — 9× in this paper · explained in 2 episodes
• Calibration — 9× in this paper · explained in 7 episodes
• Transformer — 8× in this paper · explained in 2 episodes
• Decode — 6× in this paper · explained in 2 episodes
• Ablation — 4× in this paper · explained in 1 episode
• Adaptation — 2× in this paper · explained in 1 episode
• Elias — 2× in this paper · explained in 2 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Distribution Shift — 1× in this paper · explained in 5 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes

Sources

• SliceGPT: Compress Large Language Models by Deleting Rows and Columns
• QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs
• LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding
• PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information Funneling
• Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
• DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
• GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers
• KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
• Efficient Memory Management for Large Language Model Serving with PagedAttention
• A Survey on Large Language Model Acceleration based on KV Cache Management
• SnapKV: LLM Knows What You are Looking for Before Generation
• DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs
• AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration
• KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache
• ShortGPT: Layers in Large Language Models are More Redundant Than You Expect
• Pointer Sentinel Mixture Models
• OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models
• ShadowKV: KV Cache in Shadows for High-Throughput Long-Context LLM Inference
• A Simple and Effective Pruning Approach for Large Language Models
• QTIP: Quantization with Trellises and Incoherence Processing

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