Liger Kernel: Efficient Triton Kernels for LLM Training
Not on the map. Why?
Cited by 26 in LLM reasoning, but placed by its own abstract, which didn’t fit.
Abstract (arXiv)
Training Large Language Models (LLMs) efficiently at scale presents a formidable challenge, driven by their ever-increasing computational demands and the need for enhanced performance. In this work, we introduce Liger-Kernel, an open-sourced set of Triton kernels developed specifically for LLM training. With kernel optimization techniques like kernel operation fusing and input chunking, our kernels achieve on average a 20% increase in training throughput and a 60% reduction in GPU memory usage for popular LLMs compared to HuggingFace implementations. In addition, Liger-Kernel is designed with modularity, accessibility, and adaptability in mind, catering to both casual and expert users. Comprehensive benchmarks and integration tests are built in to ensure compatibility, performance, correctness, and convergence across diverse computing environments and model architectures. The source code is available under a permissive license at: github.com/linkedin/Liger-Kernel.
Key facts. Cited by 130 papers in the map (data through 14 Oct 2026). Builds on 18 of its 28 references that are in the map. First posted on arXiv 14 Oct 2024.
Builds on
18 of 28 references.
References · 18
- 2017Attention Is All You Needcited by 60,361
- 2020Language Models are Few-Shot Learnerscited by 32,419
- 2019PyTorch: An Imperative Style, High-Performance Deep Learning Librarycited by 20,305
- 2024The Llama 3 Herd of Modelscited by 14,715
- 2021LoRA: Low-Rank Adaptation of Large Language Modelscited by 14,380
- 2023LLaMA: Open and Efficient Foundation Language Modelscited by 14,132
- 2016Layer Normalizationcited by 5,669
- 2021RoFormer: Enhanced Transformer with Rotary Position Embeddingcited by 4,703
- 2022FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awarenesscited by 3,673
- 2016Gaussian Error Linear Units (GELUs)cited by 3,502
- 2023Mistral 7Bcited by 3,164
- 2023FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioningcited by 2,598
6 more
- 2022Emergent Abilities of Large Language Modelscited by 2,512
- 2024Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phonecited by 1,917
- 2020GLU Variants Improve Transformercited by 1,804
- 2019Root Mean Square Layer Normalizationcited by 1,480
- 2023PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallelcited by 660
- 2023ZeRO++: Extremely Efficient Collective Communication for Giant Model Trainingcited by 52
Built on by
Citing papers per year: 2024: 7; 2025: 68; 2026: 55.
130 papers.
Sort:
By area:
- 2025InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiencycited by 1,510
- 2024NVILA: Efficient Frontier Visual Language Modelscited by 209
- 2024OpenReviewer: A Specialized Large Language Model for Generating Critical Scientific Paper Reviewscited by 65
- 2026Helios: Real Real-Time Long Video Generation Modelcited by 65
- 2025Intern-S1: A Scientific Multimodal Foundation Modelcited by 53
- 2025BitNet b1.58 2B4T Technical Reportcited by 38
- 2025Linguistic Generalizability of Test-Time Scaling in Mathematical Reasoningcited by 37
- 2025FlashThink: An Early Exit Method For Efficient Reasoningcited by 28
- 2025Latent Thought Models with Variational Bayes Inference-Time Computationcited by 25
- 2025RenderFormer: Transformer-based Neural Rendering of Triangle Meshes with Global Illuminationcited by 23
- 2025SEA-LION: Southeast Asian Languages in One Networkcited by 22
- 2025LongSpec: Long-Context Lossless Speculative Decoding with Efficient Drafting and Verificationcited by 21
38 more
- 2025SelfCite: Self-Supervised Alignment for Context Attribution in Large Language Modelscited by 20
- 2025VeOmni: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoocited by 20
- 2026Decoupling KL and Trajectories: A Unified Perspective for SFT, DAgger, Offline RL, and OPD in LLM Distillationcited by 20
- 2025Docopilot: Improving Multimodal Models for Document-Level Understandingcited by 19
- 2025LLMs as Scalable, General-Purpose Simulators For Evolving Digital Agent Trainingcited by 18
- 2024Cross-lingual Transfer of Reward Models in Multilingual Alignmentcited by 17
- 2025TASTE: Text-Aligned Speech Tokenization and Embedding for Spoken Language Modelingcited by 16
- 2025QeRL: Beyond Efficiency -- Quantization-enhanced Reinforcement Learning for LLMscited by 16
- 2026Thinking in Streaming Videocited by 16
- 2025TEMPURA: Temporal Event Masked Prediction and Understanding for Reasoning in Actioncited by 14
- 2025Krikri: Advancing Open Large Language Models for Greekcited by 14
- 2026NextFlow: Unified Sequential Modeling Activates Multimodal Understanding and Generationcited by 14
- 2024Tucano: Advancing Neural Text Generation for Portuguesecited by 13
- 2025GoRA: Gradient-driven Adaptive Low Rank Adaptationcited by 12
- 2026AfriqueLLM: How Data Mixing and Model Architecture Impact Continued Pre-training for African Languagescited by 12
- 2025Rethinking the Generation of High-Quality CoT Data from the Perspective of LLM-Adaptive Question Difficulty Gradingcited by 11
- 2025SciReasoner: Laying the Scientific Reasoning Ground Across Disciplinescited by 11
- 2026Towards Automated Kernel Generation in the Era of LLMscited by 11
- 2026Arcee Trinity Large Technical Reportcited by 11
- 2025Dense Backpropagation Improves Training for Sparse Mixture-of-Expertscited by 10
- 2025Pushing on Multilingual Reasoning Models with Language-Mixed Chain-of-Thoughtcited by 10
- 2024Multi-modal Retrieval Augmented Multi-modal Generation: Datasets, Evaluation Metrics and Strong Baselinescited by 9
- 2025Adapting Language-Specific LLMs to a Reasoning Model in One Day via Model Merging -- An Open Recipecited by 9
- 2025TransAct V2: Lifelong User Action Sequence Modeling on Pinterest Recommendationcited by 9
- 2025On The Fragility of Benchmark Contamination Detection in Reasoning Modelscited by 9
- 2025JanusCoder: Towards a Foundational Visual-Programmatic Interface for Code Intelligencecited by 9
- 2025Gaperon: A Peppered English-French Generative Language Model Suitecited by 9
- 2026EuroLLM-22B: Technical Reportcited by 9
- 2024YuLan-Mini: An Open Data-efficient Language Modelcited by 7
- 2025Longer Context, Deeper Thinking: Uncovering the Role of Long-Context Ability in Reasoningcited by 7
- 2025MD-LLM-1: A Large Language Model for Molecular Dynamicscited by 7
- 2024100K or 100 Days: Trade-offs when Pre-Training with Academic Resourcescited by 6
- 2025VARCO-VISION-2.0 Technical Reportcited by 6
- 2025Training Large Language Models To Reason In Parallel With Global Forking Tokenscited by 6
- 2025SSA: Sparse Sparse Attention by Aligning Full and Sparse Attention Outputs in Feature Spacecited by 6
- 2025UniQL: Unified Quantization and Low-rank Compression for Adaptive Edge LLMscited by 6
- 2026VBVR-Pro: A Scalable and Verifiable Suite for Native Visual Reasoningcited by 6
- 2025Pensez: Less Data, Better Reasoning -- Rethinking French LLMcited by 5
50 most cited of 130 All 130 (JSON)
- 2026DisaggKD: Efficient Knowledge Distillation through Teacher-Student Disaggregation and a Fused Loss13 Oct 2026
- 2026The Gradient That Top-k Distillation Never Computes11 Oct 2026
- 2026Cut Binary Cross Entropy: Efficient Large-Vocabulary Loss and Gradient Kernels for Sequential Recommendation4 Oct 2026
- 2026IronLLM: Forging Compact Edge-Native Language Models for Real-Time Embodied Intelligence29 Sep 2026
- 2026MoRE: Scaling mixture of experts with hardware-aware low-rank routing28 Sep 2026
- 2026FLOORA: A Human-Aligned Domain-Specific Language Model for Architectural Design28 Sep 2026
- 2026Flattening Every Memory Peak in Long-Context Mixture-of-Experts Training13 Sep 2026
- 2026Format-Aware Fusion for Fast FP4 Pretraining4 Sep 2026
- 2026SGD-KV: Summarization Guided KV Cache Compression3 Sep 2026
- 2026Reading the News: Adapting Large Language Models to Swedish Journalism Through Continued Pre-Training31 Aug 2026
- 2026VBVR-Pro: A Scalable and Verifiable Suite for Native Visual Reasoning26 Aug 2026
- 2026RealisticTritonBench: A Benchmark for Triton-Kernel Generation in Real-World AI Frameworks12 Aug 2026
38 more
- 2026Motif 3: Technical Report10 Aug 2026
- 2026Aero Realtime: Fully Aligned Input-Output Streams for Low-Latency Streaming Multimodal Generation9 Aug 2026
- 2026Efficient Knowledge Distillation for LLMs: Offline Top-K Logits and a Fused Chunked KL Loss4 Aug 2026
- 2026SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD22 Jul 2026
- 2026Nova: An End-to-End MLIR Compiler for Deep Learning15 Jul 2026
- 2026One Simple Trick for Improving the Performance of Energy-Limited Local Inference and Training2 Jul 2026
- 2026Animation2Code: Evaluating Temporal Visual Reasoning in Video-to-Code Generation26 Jun 2026
- 2026video-SALMONN-R3: Learning to ReWatch, ReAsk, and ReAnswer for Efficient Video Understanding23 Jun 2026
- 2026The Hitchhiker's Guide to Agentic AI: From Foundations to Systems22 Jun 2026
- 2026FORGE: Fused On-Register Gradient Elimination for Memory-Efficient LLM Training22 Jun 2026
- 2026CAT-Translate: Building Compact Open-Source Models for Japanese-English Translation19 Jun 2026
- 2026LabVLA: Grounding Vision-Language-Action Models in Scientific Laboratories11 Jun 2026
- 2026MusaCoder: Native GPU Kernel Generation with Full-Stack Training on Moore Threads GPU3 Jun 2026
- 2026CODA: Rewriting Transformer Blocks as GEMM-Epilogue Programs19 May 2026
- 2026Decoupling KL and Trajectories: A Unified Perspective for SFT, DAgger, Offline RL, and OPD in LLM Distillation16 May 2026
- 2026Towards Generalization of Block Attention via Automatic Segmentation and Block Distillation15 May 2026
- 2026Agentic Discovery of Neural Architectures: AIRA-Compose and AIRA-Design15 May 2026
- 2026Graphs of Research: Citation Evolution Graphs as Supervision for Research Idea Generation14 May 2026
- 2026CADFS: A Big CAD Program Dataset and Framework for Computer-Aided Design with Large Language Models3 May 2026
- 2026GaMMA: Towards Joint Global-Temporal Music Understanding in Large Multimodal Models1 May 2026
- 2026SHARE: Social-Humanities AI for Research and Education13 Apr 2026
- 2026RightNow-Arabic-0.5B-Turbo: An Open Sub-1B Arabic Language Model via Vocabulary Injection and Edge-First Deployment10 Apr 2026
- 2026BOSCH: Black-Box Binary Optimization for Short-Context Attention-Head Selection in LLMs7 Apr 2026
- 2026Simple yet Effective: Low-Rank Spatial Attention for Neural Operators4 Apr 2026
- 2026Scaling DoRA: High-Rank Adaptation via Factored Norms and Fused Kernels23 Mar 2026
- 2026FlashSampling: Fast and Memory-Efficient Exact Sampling16 Mar 2026
- 2026Thinking in Streaming Video13 Mar 2026
- 2026Filter-then-Weight: Online Data Selection and Reweighting for LLM Fine-Tuning8 Mar 2026
- 2026Helios: Real Real-Time Long Video Generation Model4 Mar 2026
- 2026Raising Bars, Not Parameters: LilMoo Compact Language Model for Hindi3 Mar 2026
- 2026Untied Ulysses: Memory-Efficient Context Parallelism via Headwise Chunking24 Feb 2026
- 2026Watermarking LLM Agent Trajectories21 Feb 2026
- 2026Arcee Trinity Large Technical Report19 Feb 2026
- 2026Foundation Models for Medical Imaging: Status, Challenges, and Directions17 Feb 2026
- 2026Bayesian Preference Learning for Test-Time Steerable Reward Models9 Feb 2026
- 2026Semantic Search At LinkedIn7 Feb 2026
- 2026EuroLLM-22B: Technical Report5 Feb 2026
- 2026Not All Denoising Steps Are Equal: Model Scheduling for Faster Masked Diffusion Language Models4 Feb 2026
50 newest of 130 All 130 (JSON)
- 2025InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiencycited by 1,510
- 2025Linguistic Generalizability of Test-Time Scaling in Mathematical Reasoningcited by 37
- 2025FlashThink: An Early Exit Method For Efficient Reasoningcited by 28
- 2025Latent Thought Models with Variational Bayes Inference-Time Computationcited by 25
- 2025TEMPURA: Temporal Event Masked Prediction and Understanding for Reasoning in Actioncited by 14
- 2025Rethinking the Generation of High-Quality CoT Data from the Perspective of LLM-Adaptive Question Difficulty Gradingcited by 11
- 2025SciReasoner: Laying the Scientific Reasoning Ground Across Disciplinescited by 11
- 2025Pushing on Multilingual Reasoning Models with Language-Mixed Chain-of-Thoughtcited by 10
- 2025Adapting Language-Specific LLMs to a Reasoning Model in One Day via Model Merging -- An Open Recipecited by 9
- 2025On The Fragility of Benchmark Contamination Detection in Reasoning Modelscited by 9
- 2025Longer Context, Deeper Thinking: Uncovering the Role of Long-Context Ability in Reasoningcited by 7
- 2025Training Large Language Models To Reason In Parallel With Global Forking Tokenscited by 6
12 most cited of 26 All 26 (JSON)
- 2026VBVR-Pro: A Scalable and Verifiable Suite for Native Visual Reasoning26 Aug 2026
- 2026Animation2Code: Evaluating Temporal Visual Reasoning in Video-to-Code Generation26 Jun 2026
- 2026The Hitchhiker's Guide to Agentic AI: From Foundations to Systems22 Jun 2026
- 2026Knowledge Graph-Assisted LLM Post-Training for Enhanced Legal Reasoning20 Jan 2026
- 2025Motif-2-12.7B-Reasoning: A Practitioner's Guide to RL Training Recipes11 Dec 2025
- 2025A Reasoning Paradigm for Named Entity Recognition15 Nov 2025
- 2025DocSLM: A Small Vision-Language Model for Long Multimodal Document Understanding14 Nov 2025
- 2025Pushing on Multilingual Reasoning Models with Language-Mixed Chain-of-Thought5 Oct 2025
- 2025Listening or Reading? Evaluating Speech Awareness in Chain-of-Thought Speech-to-Text Translation3 Oct 2025
- 2025Training Large Language Models To Reason In Parallel With Global Forking Tokens1 Oct 2025
- 2025On The Fragility of Benchmark Contamination Detection in Reasoning Models30 Sep 2025
- 2025SciReasoner: Laying the Scientific Reasoning Ground Across Disciplines25 Sep 2025
12 newest of 26 All 26 (JSON)
- 2025Intern-S1: A Scientific Multimodal Foundation Modelcited by 53
- 2025VeOmni: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoocited by 20
- 2026Arcee Trinity Large Technical Reportcited by 11
- 2025Dense Backpropagation Improves Training for Sparse Mixture-of-Expertscited by 10
- 2025Exploiting Mixture-of-Experts Redundancy Unlocks Multimodal Generative Abilitiescited by 3
- 2026SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPODcited by 1
- 2026Motif 3: Technical Reportcited by 0
- 2026Flattening Every Memory Peak in Long-Context Mixture-of-Experts Trainingcited by 0
- 2026MoRE: Scaling mixture of experts with hardware-aware low-rank routingcited by 0
- 2026MoRE: Scaling mixture of experts with hardware-aware low-rank routing28 Sep 2026
- 2026Flattening Every Memory Peak in Long-Context Mixture-of-Experts Training13 Sep 2026
- 2026Motif 3: Technical Report10 Aug 2026
- 2026SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD22 Jul 2026
- 2026Arcee Trinity Large Technical Report19 Feb 2026
- 2025Intern-S1: A Scientific Multimodal Foundation Model21 Aug 2025
- 2025VeOmni: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo4 Aug 2025
- 2025Dense Backpropagation Improves Training for Sparse Mixture-of-Experts16 Apr 2025
- 2025Exploiting Mixture-of-Experts Redundancy Unlocks Multimodal Generative Abilities28 Mar 2025
- 2024NVILA: Efficient Frontier Visual Language Modelscited by 209
- 2025Docopilot: Improving Multimodal Models for Document-Level Understandingcited by 19
- 2025VARCO-VISION-2.0 Technical Reportcited by 6
- 2026CADFS: A Big CAD Program Dataset and Framework for Computer-Aided Design with Large Language Modelscited by 5
- 2025Co-Training Vision Language Models for Remote Sensing Multi-task Learningcited by 3
- 2026CADFS: A Big CAD Program Dataset and Framework for Computer-Aided Design with Large Language Models3 May 2026
- 2025Co-Training Vision Language Models for Remote Sensing Multi-task Learning26 Nov 2025
- 2025VARCO-VISION-2.0 Technical Report12 Sep 2025
- 2025Docopilot: Improving Multimodal Models for Document-Level Understanding19 Jul 2025
- 2024NVILA: Efficient Frontier Visual Language Models5 Dec 2024
- 2025LongSpec: Long-Context Lossless Speculative Decoding with Efficient Drafting and Verificationcited by 21
- 2026Towards Automated Kernel Generation in the Era of LLMscited by 11
- 2026Agentic Discovery of Neural Architectures: AIRA-Compose and AIRA-Designcited by 5
- 2026Watermarking LLM Agent Trajectoriescited by 4
- 2026Agentic Discovery of Neural Architectures: AIRA-Compose and AIRA-Design15 May 2026
- 2026Watermarking LLM Agent Trajectories21 Feb 2026
- 2026Towards Automated Kernel Generation in the Era of LLMs22 Jan 2026
- 2025LongSpec: Long-Context Lossless Speculative Decoding with Efficient Drafting and Verification24 Feb 2025
- 2024OpenReviewer: A Specialized Large Language Model for Generating Critical Scientific Paper Reviewscited by 65
- 2026Helios: Real Real-Time Long Video Generation Modelcited by 65
- 2025BitNet b1.58 2B4T Technical Reportcited by 38
- 2025RenderFormer: Transformer-based Neural Rendering of Triangle Meshes with Global Illuminationcited by 23
- 2025SEA-LION: Southeast Asian Languages in One Networkcited by 22
- 2025LLMs as Scalable, General-Purpose Simulators For Evolving Digital Agent Trainingcited by 18
- 2025TASTE: Text-Aligned Speech Tokenization and Embedding for Spoken Language Modelingcited by 16
- 2025QeRL: Beyond Efficiency -- Quantization-enhanced Reinforcement Learning for LLMscited by 16
- 2026Thinking in Streaming Videocited by 16
- 2025Krikri: Advancing Open Large Language Models for Greekcited by 14
- 2026NextFlow: Unified Sequential Modeling Activates Multimodal Understanding and Generationcited by 14
- 2024Tucano: Advancing Neural Text Generation for Portuguesecited by 13
12 most cited of 71 All 71 (JSON)
- 2026Cut Binary Cross Entropy: Efficient Large-Vocabulary Loss and Gradient Kernels for Sequential Recommendation4 Oct 2026
- 2026IronLLM: Forging Compact Edge-Native Language Models for Real-Time Embodied Intelligence29 Sep 2026
- 2026FLOORA: A Human-Aligned Domain-Specific Language Model for Architectural Design28 Sep 2026
- 2026Format-Aware Fusion for Fast FP4 Pretraining4 Sep 2026
- 2026Reading the News: Adapting Large Language Models to Swedish Journalism Through Continued Pre-Training31 Aug 2026
- 2026RealisticTritonBench: A Benchmark for Triton-Kernel Generation in Real-World AI Frameworks12 Aug 2026
- 2026Nova: An End-to-End MLIR Compiler for Deep Learning15 Jul 2026
- 2026One Simple Trick for Improving the Performance of Energy-Limited Local Inference and Training2 Jul 2026
- 2026video-SALMONN-R3: Learning to ReWatch, ReAsk, and ReAnswer for Efficient Video Understanding23 Jun 2026
- 2026FORGE: Fused On-Register Gradient Elimination for Memory-Efficient LLM Training22 Jun 2026
- 2026CAT-Translate: Building Compact Open-Source Models for Japanese-English Translation19 Jun 2026
- 2026MusaCoder: Native GPU Kernel Generation with Full-Stack Training on Moore Threads GPU3 Jun 2026
12 newest of 71 All 71 (JSON)