Collection by
Apr 5
Apr 5
Collections
Discover the best community collections!
Collections including paper arxiv:2402.11295
Collection by
Mar 21
Mar 21
Collection by
Mar 16
Mar 16
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The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 602 -
Atom: Low-bit Quantization for Efficient and Accurate LLM Serving
Paper • 2310.19102 • Published • 10 -
AMSP: Super-Scaling LLM Training via Advanced Model States Partitioning
Paper • 2311.00257 • Published • 8 -
BiLLM: Pushing the Limit of Post-Training Quantization for LLMs
Paper • 2402.04291 • Published • 48
Collection by
Mar 12
Mar 12
Collection by
about 4 hours ago
about 4 hours ago
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LoRA+: Efficient Low Rank Adaptation of Large Models
Paper • 2402.12354 • Published • 6 -
The FinBen: An Holistic Financial Benchmark for Large Language Models
Paper • 2402.12659 • Published • 16 -
TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization
Paper • 2402.13249 • Published • 10 -
TrustLLM: Trustworthiness in Large Language Models
Paper • 2401.05561 • Published • 64
Collection by
Feb 23
Feb 23
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TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization
Paper • 2402.13249 • Published • 10 -
The FinBen: An Holistic Financial Benchmark for Large Language Models
Paper • 2402.12659 • Published • 16 -
Instruction-tuned Language Models are Better Knowledge Learners
Paper • 2402.12847 • Published • 24 -
Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models
Paper • 2402.13064 • Published • 46
Collection by
May 1
May 1
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BitDelta: Your Fine-Tune May Only Be Worth One Bit
Paper • 2402.10193 • Published • 17 -
OneBit: Towards Extremely Low-bit Large Language Models
Paper • 2402.11295 • Published • 22 -
BiLLM: Pushing the Limit of Post-Training Quantization for LLMs
Paper • 2402.04291 • Published • 48 -
GPTVQ: The Blessing of Dimensionality for LLM Quantization
Paper • 2402.15319 • Published • 19
Collection by
Feb 28
Feb 28
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BiLLM: Pushing the Limit of Post-Training Quantization for LLMs
Paper • 2402.04291 • Published • 48 -
KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
Paper • 2401.18079 • Published • 7 -
Towards Next-Level Post-Training Quantization of Hyper-Scale Transformers
Paper • 2402.08958 • Published • 3 -
OneBit: Towards Extremely Low-bit Large Language Models
Paper • 2402.11295 • Published • 22
Collection by
about 1 hour ago
about 1 hour ago
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BiLLM: Pushing the Limit of Post-Training Quantization for LLMs
Paper • 2402.04291 • Published • 48 -
OneBit: Towards Extremely Low-bit Large Language Models
Paper • 2402.11295 • Published • 22 -
A Survey on Transformer Compression
Paper • 2402.05964 • Published -
Towards Next-Level Post-Training Quantization of Hyper-Scale Transformers
Paper • 2402.08958 • Published • 3
Collection by
Mar 18
Mar 18
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SliceGPT: Compress Large Language Models by Deleting Rows and Columns
Paper • 2401.15024 • Published • 68 -
FP6-LLM: Efficiently Serving Large Language Models Through FP6-Centric Algorithm-System Co-Design
Paper • 2401.14112 • Published • 17 -
WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models
Paper • 2401.13919 • Published • 25 -
Sketch2NeRF: Multi-view Sketch-guided Text-to-3D Generation
Paper • 2401.14257 • Published • 9