inclusionAI / dInferLinks
dInfer: An Efficient Inference Framework for Diffusion Language Models
☆378Updated last week
Alternatives and similar repositories for dInfer
Users that are interested in dInfer are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2025] Simple extension on vLLM to help you speed up reasoning model without training.☆216Updated 7 months ago
- Official implementation of "Fast-dLLM: Training-free Acceleration of Diffusion LLM by Enabling KV Cache and Parallel Decoding"☆764Updated last month
- [CoLM'25] The official implementation of the paper <MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression>☆153Updated last month
- QeRL enables RL for 32B LLMs on a single H100 GPU.☆469Updated last month
- Code for paper: [ICLR2025 Oral] FlexPrefill: A Context-Aware Sparse Attention Mechanism for Efficient Long-Sequence Inference☆160Updated 2 months ago
- [NeurIPS'25 Oral] Query-agnostic KV cache eviction: 3–4× reduction in memory and 2× decrease in latency (Qwen3/2.5, Gemma3, LLaMA3)☆176Updated last week
- [ICLR 2025] DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads☆515Updated 10 months ago
- ☆213Updated last month
- ☆90Updated 6 months ago
- ☆441Updated 4 months ago
- Towards Economical Inference: Enabling DeepSeek's Multi-Head Latent Attention in Any Transformer-based LLMs☆198Updated last month
- Efficient triton implementation of Native Sparse Attention.☆257Updated 7 months ago
- Implementation for FP8/INT8 Rollout for RL training without performence drop.☆282Updated 2 months ago
- Efficient LLM Inference over Long Sequences☆394Updated 6 months ago
- [ICML 2025] XAttention: Block Sparse Attention with Antidiagonal Scoring☆263Updated 6 months ago
- An early research stage expert-parallel load balancer for MoE models based on linear programming.☆481Updated last month
- KV cache compression for high-throughput LLM inference☆148Updated 11 months ago
- [ICML 2024] Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference☆362Updated 5 months ago
- Parallel Scaling Law for Language Model — Beyond Parameter and Inference Time Scaling☆465Updated 7 months ago
- [ICLR2025] Breaking Throughput-Latency Trade-off for Long Sequences with Speculative Decoding☆135Updated last year
- SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs☆182Updated 3 months ago
- [NeurIPS 2025] Scaling Speculative Decoding with Lookahead Reasoning☆56Updated 2 months ago
- ☆109Updated 3 months ago
- Official PyTorch implementation of the paper "dLLM-Cache: Accelerating Diffusion Large Language Models with Adaptive Caching" (dLLM-Cache…☆190Updated last month
- Speed Always Wins: A Survey on Efficient Architectures for Large Language Models☆380Updated last month
- Easy and Efficient dLLM Fine-Tuning☆190Updated 3 weeks ago
- GPU-optimized framework for training diffusion language models at any scale. The backend of Quokka, Super Data Learners, and OpenMoE 2 tr…☆308Updated last month
- [ICLR2025 Spotlight] MagicPIG: LSH Sampling for Efficient LLM Generation☆245Updated last year
- 🔥 LLM-powered GPU kernel synthesis: Train models to convert PyTorch ops into optimized Triton kernels via SFT+RL. Multi-turn compilation…☆110Updated last month
- [ICLR 2025] Palu: Compressing KV-Cache with Low-Rank Projection☆151Updated 10 months ago