mit-han-lab / duo-attentionLinks
[ICLR 2025] DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads
☆507Updated 9 months ago
Alternatives and similar repositories for duo-attention
Users that are interested in duo-attention are comparing it to the libraries listed below
Sorting:
- ☆290Updated 4 months ago
- [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache☆335Updated 2 weeks ago
- [ICML 2024] Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference☆356Updated 4 months ago
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆391Updated last year
- [ICLR 2025] COAT: Compressing Optimizer States and Activation for Memory-Efficient FP8 Training☆250Updated 3 months ago
- Efficient LLM Inference over Long Sequences☆392Updated 5 months ago
- SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs☆175Updated 2 months ago
- [ICML 2024] CLLMs: Consistency Large Language Models☆407Updated last year
- Official implementation of "Fast-dLLM: Training-free Acceleration of Diffusion LLM by Enabling KV Cache and Parallel Decoding"☆713Updated last week
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆331Updated last year
- [NeurIPS'23] H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models.☆487Updated last year
- Code for paper: [ICLR2025 Oral] FlexPrefill: A Context-Aware Sparse Attention Mechanism for Efficient Long-Sequence Inference☆155Updated last month
- GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM☆170Updated last year
- ☆154Updated 9 months ago
- [ACL 2025 Main] EfficientQAT: Efficient Quantization-Aware Training for Large Language Models☆316Updated last week
- [NeurIPS 2025] Simple extension on vLLM to help you speed up reasoning model without training.☆209Updated 6 months ago
- [CoLM'25] The official implementation of the paper <MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression>☆151Updated last week
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆461Updated last year
- Towards Economical Inference: Enabling DeepSeek's Multi-Head Latent Attention in Any Transformer-based LLMs☆196Updated 2 months ago
- [ICLR2025 Spotlight] MagicPIG: LSH Sampling for Efficient LLM Generation☆241Updated 11 months ago
- Spec-Bench: A Comprehensive Benchmark and Unified Evaluation Platform for Speculative Decoding (ACL 2024 Findings)☆338Updated 7 months ago
- The code of our paper "InfLLM: Unveiling the Intrinsic Capacity of LLMs for Understanding Extremely Long Sequences with Training-Free Mem…☆390Updated last year
- A family of compressed models obtained via pruning and knowledge distillation☆357Updated last month
- Efficient triton implementation of Native Sparse Attention.☆251Updated 6 months ago
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆786Updated 9 months ago
- [ICLR 2025] Palu: Compressing KV-Cache with Low-Rank Projection☆148Updated 9 months ago
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆168Updated last week
- [ICML 2025] XAttention: Block Sparse Attention with Antidiagonal Scoring☆256Updated 5 months ago
- KV cache compression for high-throughput LLM inference☆145Updated 10 months ago
- LLM KV cache compression made easy☆701Updated this week