Alternatives and similar repositories for llm-inference-research

Users that are interested in llm-inference-research are comparing it to the libraries listed below

• DerrickYLJ / TidalDecode
  [ICLR 2025] TidalDecode: A Fast and Accurate LLM Decoding with Position Persistent Sparse Attention
  ☆47Updated 3 weeks ago
• henryzhongsc / longctx_bench
  Official implementation for Yuan & Liu & Zhong et al., KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark o…
  ☆82Updated 6 months ago
• andy-yang-1 / DoubleSparse
  16-fold memory access reduction with nearly no loss
  ☆104Updated 5 months ago
• AlibabaResearch / flash-llm
  Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity
  ☆218Updated last year
• opengear-project / GEAR
  GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM
  ☆165Updated last year
• EfficientMoE / MoE-Infinity
  PyTorch library for cost-effective, fast and easy serving of MoE models.
  ☆224Updated last month
• zcli-charlie / Awesome-KV-Cache
  ☆77Updated 10 months ago
• d-matrix-ai / keyformer-llm
  ☆54Updated last year
• YaoJiayi / CacheBlend
  ☆131Updated last month
• zhengzangw / Sequence-Scheduling
  PyTorch implementation of paper "Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline".
  ☆90Updated 2 years ago
• FasterDecoding / SnapKV
  ☆276Updated last month
• hao-ai-lab / MuxServe
  ☆69Updated last year
• jy-yuan / KIVI
  [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache
  ☆317Updated 7 months ago
• Infini-AI-Lab / MagicDec
  [ICLR2025] Breaking Throughput-Latency Trade-off for Long Sequences with Speculative Decoding
  ☆125Updated 8 months ago
• microsoft / RetrievalAttention
  Scalable long-context LLM decoding that leverages sparsity—by treating the KV cache as a vector storage system.
  ☆77Updated last week
• Equationliu / Kangaroo
  [NeurIPS 2024] The official implementation of "Kangaroo: Lossless Self-Speculative Decoding for Accelerating LLMs via Double Early Exitin…
  ☆59Updated last year
• FMInference / DejaVu
  ☆333Updated last year
• FFY0 / AdaKV
  The Official Implementation of Ada-KV: Optimizing KV Cache Eviction by Adaptive Budget Allocation for Efficient LLM Inference
  ☆90Updated 2 months ago
• mit-han-lab / Quest
  [ICML 2024] Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference
  ☆327Updated last month
• microsoft / ParrotServe
  [OSDI'24] Serving LLM-based Applications Efficiently with Semantic Variable
  ☆181Updated 11 months ago
• pzs19 / TokenSelect
  ☆15Updated 5 months ago
• efeslab / fiddler
  [ICLR'25] Fast Inference of MoE Models with CPU-GPU Orchestration
  ☆226Updated 9 months ago
• HugoZHL / PQCache
  [SIGMOD 2025] PQCache: Product Quantization-based KVCache for Long Context LLM Inference
  ☆67Updated 2 months ago
• thu-pacman / FasterMoE
  ☆85Updated 3 years ago
• smart-lty / ParallelSpeculativeDecoding
  [ICLR 2025] PEARL: Parallel Speculative Decoding with Adaptive Draft Length
  ☆108Updated 4 months ago
• LiuXiaoxuanPKU / OSD
  ☆56Updated 8 months ago
• YJHMITWEB / ExFlow
  Explore Inter-layer Expert Affinity in MoE Model Inference
  ☆13Updated last year
• Infini-AI-Lab / MagicPIG
  [ICLR2025 Spotlight] MagicPIG: LSH Sampling for Efficient LLM Generation
  ☆232Updated 8 months ago
• Jingyu6 / speculative_prefill
  ☆41Updated 3 months ago
• CASE-Lab-UMD / Unified-MoE-Compression
  The official implementation of the paper "Towards Efficient Mixture of Experts: A Holistic Study of Compression Techniques (TMLR)".
  ☆74Updated 5 months ago