Infini-AI-Lab / MagicPIGLinks
[ICLR2025 Spotlight] MagicPIG: LSH Sampling for Efficient LLM Generation
☆229Updated 7 months ago
Alternatives and similar repositories for MagicPIG
Users that are interested in MagicPIG are comparing it to the libraries listed below
Sorting:
- ☆268Updated 3 weeks ago
- GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM☆165Updated last year
- [ICML 2024] Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference☆311Updated 3 weeks ago
- [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache☆312Updated 6 months ago
- Code for paper: [ICLR2025 Oral] FlexPrefill: A Context-Aware Sparse Attention Mechanism for Efficient Long-Sequence Inference☆124Updated 2 months ago
- [ICLR 2025] Palu: Compressing KV-Cache with Low-Rank Projection☆128Updated 5 months ago
- SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs☆141Updated last week
- [ICLR2025] Breaking Throughput-Latency Trade-off for Long Sequences with Speculative Decoding☆123Updated 8 months ago
- ☆137Updated 5 months ago
- 16-fold memory access reduction with nearly no loss☆103Updated 4 months ago
- Simple extension on vLLM to help you speed up reasoning model without training.☆172Updated 2 months ago
- [ICLR'25] Fast Inference of MoE Models with CPU-GPU Orchestration☆225Updated 8 months ago
- KV cache compression for high-throughput LLM inference☆134Updated 6 months ago
- REST: Retrieval-Based Speculative Decoding, NAACL 2024☆205Updated 8 months ago
- Official implementation for Yuan & Liu & Zhong et al., KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark o…☆81Updated 5 months ago
- [ICLR 2025] DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads☆480Updated 5 months ago
- Cold Compress is a hackable, lightweight, and open-source toolkit for creating and benchmarking cache compression methods built on top of…☆138Updated 11 months ago
- The official implementation of the paper "Towards Efficient Mixture of Experts: A Holistic Study of Compression Techniques (TMLR)".☆72Updated 4 months ago
- [CoLM'25] The official implementation of the paper <MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression>☆141Updated 3 weeks ago
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆365Updated 11 months ago
- Ouroboros: Speculative Decoding with Large Model Enhanced Drafting (EMNLP 2024 main)☆109Updated 4 months ago
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆318Updated last year
- [ICLR 2025] PEARL: Parallel Speculative Decoding with Adaptive Draft Length☆102Updated 3 months ago
- Code associated with the paper **Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding**☆199Updated 5 months ago
- PyTorch library for cost-effective, fast and easy serving of MoE models.☆215Updated last month
- ☆331Updated last year
- ☆75Updated 9 months ago
- [OSDI'24] Serving LLM-based Applications Efficiently with Semantic Variable☆170Updated 10 months ago
- [ICLR 2025] TidalDecode: A Fast and Accurate LLM Decoding with Position Persistent Sparse Attention☆44Updated 3 months ago
- Boosting 4-bit inference kernels with 2:4 Sparsity☆80Updated 11 months ago