Alternatives and similar repositories for Efficient_Foundation_Model_Survey

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

• tiingweii-shii / Awesome-Resource-Efficient-LLM-Papers
  a curated list of high-quality papers on resource-efficient LLMs 🌱
  ☆132Updated 4 months ago
• UbiquitousLearning / Paper-list-resource-efficient-large-language-model
  ☆100Updated last year
• withinmiaov / A-Survey-on-Mixture-of-Experts-in-LLMs
  [TKDE'25] The official GitHub page for the survey paper "A Survey on Mixture of Experts in Large Language Models".
  ☆403Updated 2 weeks ago
• pprp / Awesome-LLM-Prune
  Awesome list for LLM pruning.
  ☆246Updated 7 months ago
• Zefan-Cai / Awesome-LLM-KV-Cache
  Awesome-LLM-KV-Cache: A curated list of 📙Awesome LLM KV Cache Papers with Codes.
  ☆345Updated 5 months ago
• October2001 / Awesome-KV-Cache-Compression
  📰 Must-read papers on KV Cache Compression (constantly updating 🤗).
  ☆500Updated last week
• liyunqianggyn / Awesome-LLMs-Pruning
  Awesome LLM pruning papers all-in-one repository with integrating all useful resources and insights.
  ☆111Updated last week
• falcon-xu / early-exit-papers
  A curated list of early exiting (LLM, CV, NLP, etc)
  ☆58Updated 11 months ago
• pprp / Awesome-LLM-Quantization
  Awesome list for LLM quantization
  ☆260Updated last month
• TreeAI-Lab / Awesome-KV-Cache-Management
  This repository serves as a comprehensive survey of LLM development, featuring numerous research papers along with their corresponding co…
  ☆172Updated last week
• LiuXiaoxuanPKU / OSD
  ☆54Updated 8 months ago
• hemingkx / Spec-Bench
  Spec-Bench: A Comprehensive Benchmark and Unified Evaluation Platform for Speculative Decoding (ACL 2024 Findings)
  ☆303Updated 3 months ago
• FMInference / H2O
  [NeurIPS'23] H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models.
  ☆463Updated last year
• smart-lty / ParallelSpeculativeDecoding
  [ICLR 2025] PEARL: Parallel Speculative Decoding with Adaptive Draft Length
  ☆102Updated 3 months ago
• dilab-zju / self-speculative-decoding
  Code associated with the paper **Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding**
  ☆199Updated 5 months ago
• ZO-Bench / ZO-LLM
  [ICML 2024] Official code for the paper "Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark ".
  ☆109Updated 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
• pprp / Awesome-Efficient-MoE
  Efficient Mixture of Experts for LLM Paper List
  ☆87Updated 7 months ago
• pan-x-c / EE-LLM
  EE-LLM is a framework for large-scale training and inference of early-exit (EE) large language models (LLMs).
  ☆66Updated last year
• MoE-Inf / awesome-moe-inference
  Curated collection of papers in MoE model inference
  ☆225Updated last week
• NVlabs / Fast-dLLM
  Official implementation of "Fast-dLLM: Training-free Acceleration of Diffusion LLM by Enabling KV Cache and Parallel Decoding"
  ☆331Updated last week
• FMInference / DejaVu
  ☆331Updated last year
• Gaffey / ExCP
  Official implementation of ICML 2024 paper "ExCP: Extreme LLM Checkpoint Compression via Weight-Momentum Joint Shrinking".
  ☆48Updated last year
• hemingkx / SpeculativeDecodingPapers
  📰 Must-read papers and blogs on Speculative Decoding ⚡️
  ☆869Updated this week
• hahnyuan / LLM-Viewer
  Analyze the inference of Large Language Models (LLMs). Analyze aspects like computation, storage, transmission, and hardware roofline mod…
  ☆521Updated 10 months ago
• biomedical-cybernetics / Relative-importance-and-activation-pruning
  ☆49Updated last year
• codecaution / Awesome-Mixture-of-Experts-Papers
  A curated reading list of research in Mixture-of-Experts(MoE).
  ☆639Updated 9 months ago
• thu-pacman / FasterMoE
  ☆85Updated 3 years ago
• zcli-charlie / Awesome-KV-Cache
  ☆76Updated 9 months ago
• CASIA-IVA-Lab / FLAP
  [AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models
  ☆57Updated last year