horseee / dKV-CacheLinks
[NeurIPS'25] dKV-Cache: The Cache for Diffusion Language Models
☆117Updated 5 months ago
Alternatives and similar repositories for dKV-Cache
Users that are interested in dKV-Cache are comparing it to the libraries listed below
Sorting:
- [NeurIPS'25] The official code implementation for paper "R2R: Efficiently Navigating Divergent Reasoning Paths with Small-Large Model Tok…☆57Updated last week
- ☆61Updated 4 months ago
- Official PyTorch implementation of the paper "dLLM-Cache: Accelerating Diffusion Large Language Models with Adaptive Caching" (dLLM-Cache…☆176Updated 2 months ago
- [ICML 2025] SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity☆60Updated 4 months ago
- Discrete Diffusion Forcing (D2F): dLLMs Can Do Faster-Than-AR Inference☆197Updated last month
- ✈️ [ICCV 2025] Towards Stabilized and Efficient Diffusion Transformers through Long-Skip-Connections with Spectral Constraints☆76Updated 4 months ago
- Locality-aware Parallel Decoding for Efficient Autoregressive Image Generation☆78Updated 4 months ago
- [ICLR 2025] Mixture Compressor for Mixture-of-Experts LLMs Gains More☆61Updated 9 months ago
- [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching☆116Updated last year
- Dimple, the first Discrete Diffusion Multimodal Large Language Model☆109Updated 4 months ago
- [ICML 2025] This is the official PyTorch implementation of "ZipAR: Accelerating Auto-regressive Image Generation through Spatial Locality…☆53Updated 7 months ago
- A Collection of Papers on Diffusion Language Models☆143Updated 2 months ago
- [ICML 2025] XAttention: Block Sparse Attention with Antidiagonal Scoring☆254Updated 4 months ago
- TraceRL & TraDo-8B: Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models☆317Updated this week
- Official PyTorch implementation of the paper "Accelerating Diffusion Large Language Models with SlowFast Sampling: The Three Golden Princ…☆34Updated 4 months ago
- [NeurIPS 2025] VeriThinker: Learning to Verify Makes Reasoning Model Efficient☆61Updated last month
- An efficient implementation of the NSA (Native Sparse Attention) kernel☆124Updated 4 months ago
- [ICLR 2024 Spotlight] This is the official PyTorch implementation of "EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Di…☆66Updated last year
- SLA: Beyond Sparsity in Diffusion Transformers via Fine-Tunable Sparse–Linear Attention☆137Updated last week
- ☆103Updated 2 months ago
- [ICLR2025] Codebase for "ReMoE: Fully Differentiable Mixture-of-Experts with ReLU Routing", built on Megatron-LM.☆98Updated 11 months ago
- [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…☆67Updated last year
- ☆72Updated last month
- Data distillation benchmark☆71Updated 5 months ago
- [NeurIPS 2025] ScaleKV: Memory-Efficient Visual Autoregressive Modeling with Scale-Aware KV Cache Compression☆51Updated 2 weeks ago
- dParallel: Learnable Parallel Decoding for dLLMs☆42Updated last month
- ☆95Updated 8 months ago
- ☆106Updated 2 months ago
- paper list, tutorial, and nano code snippet for Diffusion Large Language Models.☆127Updated 4 months ago
- [NeurIPS 2024] The official implementation of ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification☆29Updated 7 months ago