Infini-AI-Lab / MagicPIGLinks
[ICLR2025 Spotlight] MagicPIG: LSH Sampling for Efficient LLM Generation
☆220Updated 6 months ago
Alternatives and similar repositories for MagicPIG
Users that are interested in MagicPIG are comparing it to the libraries listed below
Sorting:
- ☆256Updated last year
- [ICML 2024] Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference☆297Updated 7 months ago
- SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs☆128Updated this week
- Simple extension on vLLM to help you speed up reasoning model without training.☆161Updated 3 weeks ago
- [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache☆303Updated 5 months ago
- Code for paper: [ICLR2025 Oral] FlexPrefill: A Context-Aware Sparse Attention Mechanism for Efficient Long-Sequence Inference☆113Updated last month
- [ICLR2025] Breaking Throughput-Latency Trade-off for Long Sequences with Speculative Decoding☆116Updated 6 months ago
- REST: Retrieval-Based Speculative Decoding, NAACL 2024☆204Updated 6 months ago
- [ICLR 2025] DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads☆466Updated 4 months ago
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆310Updated 11 months ago
- ☆130Updated 4 months ago
- Ouroboros: Speculative Decoding with Large Model Enhanced Drafting (EMNLP 2024 main)☆106Updated 3 months ago
- GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM☆163Updated 11 months ago
- [ICLR 2025] Palu: Compressing KV-Cache with Low-Rank Projection☆123Updated 4 months ago
- Cold Compress is a hackable, lightweight, and open-source toolkit for creating and benchmarking cache compression methods built on top of…☆137Updated 10 months ago
- Official implementation for Yuan & Liu & Zhong et al., KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark o…☆79Updated 4 months ago
- KV cache compression for high-throughput LLM inference☆131Updated 4 months ago
- The official implementation of the paper "Towards Efficient Mixture of Experts: A Holistic Study of Compression Techniques (TMLR)".☆71Updated 3 months ago
- Unofficial implementation for the paper "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"☆163Updated last year
- 📰 Must-read papers on KV Cache Compression (constantly updating 🤗).☆459Updated this week
- The official implementation of the paper <MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression>☆134Updated last month
- Efficient triton implementation of Native Sparse Attention.☆168Updated last month
- Code associated with the paper **Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding**☆194Updated 4 months ago
- ☆114Updated 3 weeks ago
- [ICLR'25] Fast Inference of MoE Models with CPU-GPU Orchestration☆213Updated 7 months ago
- Spec-Bench: A Comprehensive Benchmark and Unified Evaluation Platform for Speculative Decoding (ACL 2024 Findings)☆282Updated 2 months ago
- PyTorch library for cost-effective, fast and easy serving of MoE models.☆198Updated last week
- Explorations into some recent techniques surrounding speculative decoding☆269Updated 6 months ago
- ☆67Updated 8 months ago
- 16-fold memory access reduction with nearly no loss☆99Updated 3 months ago