SqueezeLLM: Dense-and-Sparse Quantization
Fuente:
arXiv
Saved in:
| Main Authors: | Kim, Sehoon, Hooper, Coleman, Gholami, Amir, Dong, Zhen, Li, Xiuyu, Shen, Sheng, Mahoney, Michael W., Keutzer, Kurt |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Squeezed Attention: Accelerating Long Context Length LLM Inference
by: Hooper, Coleman, et al.
Published: (2024)
by: Hooper, Coleman, et al.
Published: (2024)
KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
by: Hooper, Coleman, et al.
Published: (2024)
by: Hooper, Coleman, et al.
Published: (2024)
Multipole Attention for Efficient Long Context Reasoning
by: Hooper, Coleman, et al.
Published: (2025)
by: Hooper, Coleman, et al.
Published: (2025)
AI and Memory Wall
by: Gholami, Amir, et al.
Published: (2024)
by: Gholami, Amir, et al.
Published: (2024)
Learned Best-Effort LLM Serving
by: Jha, Siddharth, et al.
Published: (2024)
by: Jha, Siddharth, et al.
Published: (2024)
Beyond Next-Token Prediction: A Performance Characterization of Diffusion versus Autoregressive Language Models
by: Kim, Minseo, et al.
Published: (2025)
by: Kim, Minseo, et al.
Published: (2025)
SPEED: Speculative Pipelined Execution for Efficient Decoding
by: Hooper, Coleman, et al.
Published: (2023)
by: Hooper, Coleman, et al.
Published: (2023)
QuantSpec: Self-Speculative Decoding with Hierarchical Quantized KV Cache
by: Tiwari, Rishabh, et al.
Published: (2025)
by: Tiwari, Rishabh, et al.
Published: (2025)
An LLM Compiler for Parallel Function Calling
by: Kim, Sehoon, et al.
Published: (2023)
by: Kim, Sehoon, et al.
Published: (2023)
Characterizing Prompt Compression Methods for Long Context Inference
by: Jha, Siddharth, et al.
Published: (2024)
by: Jha, Siddharth, et al.
Published: (2024)
LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement
by: Lee, Nicholas, et al.
Published: (2024)
by: Lee, Nicholas, et al.
Published: (2024)
TinyAgent: Function Calling at the Edge
by: Erdogan, Lutfi Eren, et al.
Published: (2024)
by: Erdogan, Lutfi Eren, et al.
Published: (2024)
LoSA: Locality Aware Sparse Attention for Block-Wise Diffusion Language Models
by: Xi, Haocheng, et al.
Published: (2026)
by: Xi, Haocheng, et al.
Published: (2026)
CDLM: Consistency Diffusion Language Models For Faster Sampling
by: Kim, Minseo, et al.
Published: (2025)
by: Kim, Minseo, et al.
Published: (2025)
ETS: Efficient Tree Search for Inference-Time Scaling
by: Hooper, Coleman, et al.
Published: (2025)
by: Hooper, Coleman, et al.
Published: (2025)
Arbitrage: Efficient Reasoning via Advantage-Aware Speculation
by: Maheswaran, Monishwaran, et al.
Published: (2025)
by: Maheswaran, Monishwaran, et al.
Published: (2025)
Efficient and Scalable Estimation of Tool Representations in Vector Space
by: Moon, Suhong, et al.
Published: (2024)
by: Moon, Suhong, et al.
Published: (2024)
XQuant: Breaking the Memory Wall for LLM Inference with KV Cache Rematerialization
by: Tomar, Aditya, et al.
Published: (2025)
by: Tomar, Aditya, et al.
Published: (2025)
QFT: Quantized Full-parameter Tuning of LLMs with Affordable Resources
by: Li, Zhikai, et al.
Published: (2023)
by: Li, Zhikai, et al.
Published: (2023)
Speculative Interaction Agents: Building Real-Time Agents with Asynchronous I/O and Speculative Tool Calling
by: Hooper, Coleman, et al.
Published: (2026)
by: Hooper, Coleman, et al.
Published: (2026)
FGMP: Fine-Grained Mixed-Precision Weight and Activation Quantization for Hardware-Accelerated LLM Inference
by: Hooper, Coleman, et al.
Published: (2025)
by: Hooper, Coleman, et al.
Published: (2025)
Plan-and-Act: Improving Planning of Agents for Long-Horizon Tasks
by: Erdogan, Lutfi Eren, et al.
Published: (2025)
by: Erdogan, Lutfi Eren, et al.
Published: (2025)
Residual Context Diffusion Language Models
by: Hu, Yuezhou, et al.
Published: (2026)
by: Hu, Yuezhou, et al.
Published: (2026)
Agentic Test-Time Scaling for WebAgents
by: Lee, Nicholas, et al.
Published: (2026)
by: Lee, Nicholas, et al.
Published: (2026)
Towards Foundation Models for Scientific Machine Learning: Characterizing Scaling and Transfer Behavior
by: Subramanian, Shashank, et al.
Published: (2023)
by: Subramanian, Shashank, et al.
Published: (2023)
Reward Under Attack: Analyzing the Robustness and Hackability of Process Reward Models
by: Tiwari, Rishabh, et al.
Published: (2026)
by: Tiwari, Rishabh, et al.
Published: (2026)
Simple and Effective Input Reformulations for Translation
by: Yu, Brian, et al.
Published: (2023)
by: Yu, Brian, et al.
Published: (2023)
One Model is All You Need: ByT5-Sanskrit, a Unified Model for Sanskrit NLP Tasks
by: Nehrdich, Sebastian, et al.
Published: (2024)
by: Nehrdich, Sebastian, et al.
Published: (2024)
SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity
by: Khaki, Samir, et al.
Published: (2025)
by: Khaki, Samir, et al.
Published: (2025)
SciML Agents: Write the Solver, Not the Solution
by: Gaonkar, Saarth, et al.
Published: (2025)
by: Gaonkar, Saarth, et al.
Published: (2025)
LLoCO: Learning Long Contexts Offline
by: Tan, Sijun, et al.
Published: (2024)
by: Tan, Sijun, et al.
Published: (2024)
Sparse and Dense Retrievers Learn Better Together: Joint Sparse-Dense Optimization for Text-Image Retrieval
by: Song, Jonghyun, et al.
Published: (2025)
by: Song, Jonghyun, et al.
Published: (2025)
FactorLLM: Factorizing Knowledge via Mixture of Experts for Large Language Models
by: Zhao, Zhongyu, et al.
Published: (2024)
by: Zhao, Zhongyu, et al.
Published: (2024)
InfLLM-V2: Dense-Sparse Switchable Attention for Seamless Short-to-Long Adaptation
by: Zhao, Weilin, et al.
Published: (2025)
by: Zhao, Weilin, et al.
Published: (2025)
MITRA: A Large-Scale Parallel Corpus and Multilingual Pretrained Language Model for Machine Translation and Semantic Retrieval for Pāli, Sanskrit, Buddhist Chinese, and Tibetan
by: Nehrdich, Sebastian, et al.
Published: (2026)
by: Nehrdich, Sebastian, et al.
Published: (2026)
Squeeze Evolve: Unified Multi-Model Orchestration for Verifier-Free Evolution
by: Maheswaran, Monishwaran, et al.
Published: (2026)
by: Maheswaran, Monishwaran, et al.
Published: (2026)
ButterflyQuant: Ultra-low-bit LLM Quantization through Learnable Orthogonal Butterfly Transforms
by: Xu, Bingxin, et al.
Published: (2025)
by: Xu, Bingxin, et al.
Published: (2025)
Enhancing One-shot Pruned Pre-trained Language Models through Sparse-Dense-Sparse Mechanism
by: Li, Guanchen, et al.
Published: (2024)
by: Li, Guanchen, et al.
Published: (2024)
The Journey Matters: Average Parameter Count over Pre-training Unifies Sparse and Dense Scaling Laws
by: Jin, Tian, et al.
Published: (2025)
by: Jin, Tian, et al.
Published: (2025)
Hybrid Reinforcement: When Reward Is Sparse, It's Better to Be Dense
by: Tao, Leitian, et al.
Published: (2025)
by: Tao, Leitian, et al.
Published: (2025)
Similar Items
-
Squeezed Attention: Accelerating Long Context Length LLM Inference
by: Hooper, Coleman, et al.
Published: (2024) -
KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
by: Hooper, Coleman, et al.
Published: (2024) -
Multipole Attention for Efficient Long Context Reasoning
by: Hooper, Coleman, et al.
Published: (2025) -
AI and Memory Wall
by: Gholami, Amir, et al.
Published: (2024) -
Learned Best-Effort LLM Serving
by: Jha, Siddharth, et al.
Published: (2024)