CASE-Lab-UMD / Unified-MoE-Compression

Related projects ⓘ

Alternatives and complementary repositories for Unified-MoE-Compression

• opengear-project / GEAR
  GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM
  ☆147Updated 4 months ago
• hahnyuan / ASVD4LLM
  Activation-aware Singular Value Decomposition for Compressing Large Language Models
  ☆49Updated 3 weeks ago
• raymin0223 / fast_robust_early_exit
  Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding (EMNLP 2023 Long)
  ☆53Updated last month
• UNITES-Lab / MC-SMoE
  [ICLR 2024 Spotlight] Code for the paper "Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy"
  ☆64Updated 5 months ago
• thunlp / Ouroboros
  Ouroboros: Speculative Decoding with Large Model Enhanced Drafting (EMNLP 2024 main)
  ☆76Updated last month
• Infini-AI-Lab / MagicDec
  Breaking Throughput-Latency Trade-off for Long Sequences with Speculative Decoding
  ☆78Updated this week
• jeffreysijuntan / lloco
  The official repo for "LLoCo: Learning Long Contexts Offline"
  ☆113Updated 5 months ago
• HanGuo97 / lq-lora
  ☆122Updated 9 months ago
• FasterDecoding / TEAL
  ☆96Updated last month
• sail-sg / SimLayerKV
  The official implementation of paper: SimLayerKV: A Simple Framework for Layer-Level KV Cache Reduction.
  ☆38Updated last month
• machilusZ / FastGen
  This repo contains the source code for: Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs
  ☆32Updated 3 months ago
• October2001 / Awesome-KV-Cache-Compression
  📰 Must-read papers on KV Cache Compression (constantly updating 🤗).
  ☆136Updated this week
• yxli2123 / LoSparse
  ☆46Updated last year
• FasterDecoding / SnapKV
  ☆188Updated 6 months ago
• pprp / Pruner-Zero
  Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for LLMs
  ☆74Updated 5 months ago
• hdong920 / GRIFFIN
  ☆31Updated 2 months ago
• ldery / Bonsai
  Code for "Everybody Prune Now: Structured Pruning of LLMs with only Forward Passes"
  ☆28Updated 7 months ago
• shadowpa0327 / Palu
  Code for Palu: Compressing KV-Cache with Low-Rank Projection
  ☆57Updated this week
• 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…
  ☆49Updated last month
• SalesforceAIResearch / GemFilter
  ☆63Updated last month
• sail-sg / scaling-with-vocab
  [NeurIPS-2024] 📈 Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies https://arxiv.org/abs/2407.13623
  ☆69Updated last month
• hdong920 / LESS
  ☆45Updated 6 months ago
• astramind-ai / Mixture-of-depths
  Unofficial implementation for the paper "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"
  ☆134Updated 5 months ago
• mutonix / pyramidinfer
  ☆31Updated this week
• princeton-nlp / ProLong
  Homepage for ProLong (Princeton long-context language models) and paper "How to Train Long-Context Language Models (Effectively)"
  ☆118Updated 3 weeks ago
• thu-nics / MoA
  The official implementation of the paper <MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression>
  ☆100Updated last week
• pan-x-c / EE-LLM
  EE-LLM is a framework for large-scale training and inference of early-exit (EE) large language models (LLMs).
  ☆48Updated 5 months ago
• sramshetty / mixture-of-depths
  An unofficial implementation of "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"
  ☆33Updated 5 months ago
• rayleizhu / vllm-ra
  [ACL 2024] RelayAttention for Efficient Large Language Model Serving with Long System Prompts
  ☆34Updated 8 months ago
• kamanphoebe / Look-into-MoEs
  A Closer Look into Mixture-of-Experts in Large Language Models
  ☆40Updated 3 months ago