Alternatives and similar repositories for LLM-AttentionPredictor

Users that are interested in LLM-AttentionPredictor are comparing it to the libraries listed below

• lliai / D2MoE
  D^2-MoE: Delta Decompression for MoE-based LLMs Compression
  ☆64Updated 5 months ago
• wzhuang-xmu / LoSA
  [ICLR 2025] Official implementation of paper "Dynamic Low-Rank Sparse Adaptation for Large Language Models".
  ☆21Updated 6 months ago
• SempraETY / Pruning-via-Merging
  ☆20Updated 9 months ago
• ArminAzizi98 / LaMDA
  ☆15Updated 10 months ago
• BaiTheBest / SparseLLM
  Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)
  ☆65Updated 5 months ago
• ROIM1998 / APT
  [ICML'24 Oral] APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference
  ☆45Updated last year
• SqueezeAILab / SqueezedAttention
  SQUEEZED ATTENTION: Accelerating Long Prompt LLM Inference
  ☆52Updated 10 months ago
• abdelfattah-lab / TokenButler
  ☆25Updated last month
• ruipeterpan / specreason
  PoC for "SpecReason: Fast and Accurate Inference-Time Compute via Speculative Reasoning" [arXiv '25]
  ☆49Updated 2 months ago
• DavidFanzz / SCMoE
  ☆27Updated last year
• BaohaoLiao / ApiQ
  [EMNLP 2024] Quantize LLM to extremely low-bit, and finetune the quantized LLMs
  ☆14Updated last year
• Jikai0Wang / OPT-Tree
  ☆27Updated 3 months ago
• zyxxmu / cam
  Pytorch implementation of our paper accepted by ICML 2024 -- CaM: Cache Merging for Memory-efficient LLMs Inference
  ☆45Updated last year
• imagination-research / EEP
  Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs
  ☆18Updated 9 months ago
• machilusZ / FastGen
  This repo contains the source code for: Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs
  ☆39Updated last year
• FFY0 / AdaKV
  The Official Implementation of Ada-KV: Optimizing KV Cache Eviction by Adaptive Budget Allocation for Efficient LLM Inference
  ☆92Updated 2 months ago
• YouAreSpecialToMe / QST
  Quantized Side Tuning: Fast and Memory-Efficient Tuning of Quantized Large Language Models
  ☆47Updated 10 months ago
• AkideLiu / MiniCache
  ☆10Updated last year
• yangyifei729 / LaCo
  Official implementation for LaCo (EMNLP 2024 Findings)
  ☆17Updated 11 months ago
• OpenSparseLLMs / Linearization
  ☆57Updated 2 months ago
• mutonix / pyramidinfer
  ☆45Updated 9 months ago
• MingyuJ666 / Rope_with_LLM
  [ICML'25] Our study systematically investigates massive values in LLMs' attention mechanisms. First, we observe massive values are concen…
  ☆79Updated 3 months ago
• stephenqz / OATS
  Github Repo for OATS: Outlier-Aware Pruning through Sparse and Low Rank Decomposition
  ☆13Updated 5 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
• dongwonjo / FastKV
  Official Implementation of FastKV: KV Cache Compression for Fast Long-Context Processing with Token-Selective Propagation
  ☆22Updated 4 months ago
• Adaxry / Unified_Layer_Skipping
  ☆14Updated last year
• pprp / Pruner-Zero
  [ICML24] Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for LLMs
  ☆92Updated 9 months ago
• hemingkx / SWIFT
  [ICLR 2025] SWIFT: On-the-Fly Self-Speculative Decoding for LLM Inference Acceleration
  ☆55Updated 7 months ago
• Dominic789654 / LongGenBench
  Source code for the paper "LongGenBench: Long-context Generation Benchmark"
  ☆23Updated 11 months ago
• Lucky-Lance / SPP
  [ICML 2024] SPP: Sparsity-Preserved Parameter-Efficient Fine-Tuning for Large Language Models
  ☆21Updated last year