maomaocun / dLLM-cacheLinks
Official PyTorch implementation of the paper "dLLM-Cache: Accelerating Diffusion Large Language Models with Adaptive Caching" (dLLM-Cache).
☆171Updated last month
Alternatives and similar repositories for dLLM-cache
Users that are interested in dLLM-cache are comparing it to the libraries listed below
Sorting:
- Official implementation of "Fast-dLLM: Training-free Acceleration of Diffusion LLM by Enabling KV Cache and Parallel Decoding"☆581Updated 2 weeks ago
- Discrete Diffusion Forcing (D2F): dLLMs Can Do Faster-Than-AR Inference☆171Updated last month
- [NeurIPS 2024] The official implementation of ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification☆29Updated 6 months ago
- paper list, tutorial, and nano code snippet for Diffusion Large Language Models.☆122Updated 4 months ago
- [ICML 2025] XAttention: Block Sparse Attention with Antidiagonal Scoring☆239Updated 3 months ago
- [ICML 2025] SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity☆60Updated 3 months ago
- [NeurIPS'25] dKV-Cache: The Cache for Diffusion Language Models☆110Updated 5 months ago
- [ICLR2025] Codebase for "ReMoE: Fully Differentiable Mixture-of-Experts with ReLU Routing", built on Megatron-LM.☆97Updated 10 months ago
- TraceRL & TraDo-8B: Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models☆277Updated this week
- A Collection of Papers on Diffusion Language Models☆134Updated last month
- [CoLM'25] The official implementation of the paper <MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression>☆147Updated 3 months ago
- ☆61Updated 3 months ago
- Code for paper: [ICLR2025 Oral] FlexPrefill: A Context-Aware Sparse Attention Mechanism for Efficient Long-Sequence Inference☆147Updated last week
- Official PyTorch implementation of the paper "Accelerating Diffusion Large Language Models with SlowFast Sampling: The Three Golden Princ…☆33Updated 3 months ago
- ☆104Updated last month
- The most open diffusion language model for code generation — releasing pretraining, evaluation, inference, and checkpoints.☆351Updated 2 weeks ago
- [ICLR 2025] Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models☆137Updated 3 months ago
- Implementation for FP8/INT8 Rollout for RL training without performence drop.☆261Updated 3 weeks ago
- ☆119Updated 4 months ago
- [TMLR 2025] Efficient Reasoning Models: A Survey☆272Updated this week
- A sparse attention kernel supporting mix sparse patterns☆322Updated 8 months ago
- Efficient triton implementation of Native Sparse Attention.☆238Updated 5 months ago
- SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs☆158Updated last month
- A collection of papers on discrete diffusion models☆165Updated 3 months ago
- [NeurIPS'25] The official code implementation for paper "R2R: Efficiently Navigating Divergent Reasoning Paths with Small-Large Model Tok…☆52Updated last week
- ☆98Updated last month
- ☆254Updated last week
- A Survey of Efficient Attention Methods: Hardware-efficient, Sparse, Compact, and Linear Attention☆200Updated last month
- Rethinking RL Scaling for Vision Language Models: A Transparent, From-Scratch Framework and Comprehensive Evaluation Scheme☆142Updated 6 months ago
- [ICLR 2025] Mixture Compressor for Mixture-of-Experts LLMs Gains More☆58Updated 8 months ago