Alternatives and similar repositories for MiniCache

Users that are interested in MiniCache are comparing it to the libraries listed below

• sail-sg / LongSpec
  LongSpec: Long-Context Lossless Speculative Decoding with Efficient Drafting and Verification
  ☆73Updated 6 months ago
• dongwonjo / FastKV
  Official Implementation of FastKV: Decoupling of Context Reduction and KV Cache Compression for Prefill-Decoding Acceleration
  ☆29Updated 2 months ago
• abdelfattah-lab / TokenButler
  ☆27Updated 2 months ago
• htqin / IR-QLoRA
  [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…
  ☆67Updated last year
• Lucky-Lance / Expert_Sparsity
  [ACL 2024] Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models
  ☆113Updated last year
• pprp / Pruner-Zero
  [ICML24] Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for LLMs
  ☆98Updated last year
• Aaronhuang-778 / Mixture-Compressor-MoE
  [ICLR 2025] Mixture Compressor for Mixture-of-Experts LLMs Gains More
  ☆66Updated 11 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)".
  ☆88Updated 10 months ago
• hahnyuan / ASVD4LLM
  Activation-aware Singular Value Decomposition for Compressing Large Language Models
  ☆84Updated last year
• UNITES-Lab / MC-SMoE
  [ICLR‘24 Spotlight] Code for the paper "Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy"
  ☆103Updated 7 months ago
• hemingkx / SWIFT
  [ICLR 2025] SWIFT: On-the-Fly Self-Speculative Decoding for LLM Inference Acceleration
  ☆61Updated 11 months ago
• Infini-AI-Lab / Kinetics
  Kinetics: Rethinking Test-Time Scaling Laws
  ☆85Updated 6 months ago
• GATECH-EIC / Linearized-LLM
  [ICML 2024] When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models
  ☆35Updated last year
• ROIM1998 / APT
  [ICML'24 Oral] APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference
  ☆46Updated last year
• zyxxmu / cam
  Pytorch implementation of our paper accepted by ICML 2024 -- CaM: Cache Merging for Memory-efficient LLMs Inference
  ☆48Updated last year
• BaiTheBest / SparseLLM
  Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)
  ☆67Updated 10 months ago
• machilusZ / FastGen
  This repo contains the source code for: Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs
  ☆44Updated last year
• ArminAzizi98 / LaMDA
  ☆15Updated last year
• thu-nics / MoA
  [CoLM'25] The official implementation of the paper <MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression>
  ☆155Updated 3 weeks ago
• OpenSparseLLMs / Linearization
  ☆64Updated 6 months ago
• ldery / Bonsai
  Code for "Everybody Prune Now: Structured Pruning of LLMs with only Forward Passes"
  ☆30Updated last year
• czg1225 / dParallel
  [ICLR 2026] dParallel: Learnable Parallel Decoding for dLLMs
  ☆58Updated last week
• Linking-ai / SCOPE
  (ACL 2025 oral) SCOPE: Optimizing KV Cache Compression in Long-context Generation
  ☆34Updated 8 months ago
• hdong920 / GRIFFIN
  ☆39Updated last year
• OpenSparseLLMs / MoM
  ☆119Updated 4 months ago
• BaohaoLiao / ApiQ
  [EMNLP 2024] Quantize LLM to extremely low-bit, and finetune the quantized LLMs
  ☆15Updated last year
• Lucky-Lance / SPP
  [ICML 2024] SPP: Sparsity-Preserved Parameter-Efficient Fine-Tuning for Large Language Models
  ☆21Updated last year
• jiwonsong-dev / SLEB
  [ICML 2024] Official Implementation of SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks
  ☆39Updated last year
• Jikai0Wang / OPT-Tree
  ☆29Updated 8 months ago
• OpenSparseLLMs / Linear-MoE
  ☆129Updated 8 months ago