tiingweii-shii / Awesome-Resource-Efficient-LLM-PapersLinks
a curated list of high-quality papers on resource-efficient LLMs π±
β132Updated 4 months ago
Alternatives and similar repositories for Awesome-Resource-Efficient-LLM-Papers
Users that are interested in Awesome-Resource-Efficient-LLM-Papers are comparing it to the libraries listed below
Sorting:
- Survey Paper List - Efficient LLM and Foundation Modelsβ253Updated 10 months ago
- Awesome list for LLM quantizationβ260Updated last month
- Awesome list for LLM pruning.β246Updated 7 months ago
- Awesome-LLM-KV-Cache: A curated list of πAwesome LLM KV Cache Papers with Codes.β343Updated 5 months ago
- β100Updated last year
- This repository serves as a comprehensive survey of LLM development, featuring numerous research papers along with their corresponding coβ¦β172Updated last week
- Official implementation for Yuan & Liu & Zhong et al., KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark oβ¦β81Updated 5 months ago
- Awesome LLM pruning papers all-in-one repository with integrating all useful resources and insights.β108Updated last week
- β75Updated 9 months ago
- Curated collection of papers in MoE model inferenceβ220Updated this week
- π° Must-read papers on KV Cache Compression (constantly updating π€).β500Updated this week
- [ICLR 2025] PEARL: Parallel Speculative Decoding with Adaptive Draft Lengthβ102Updated 3 months ago
- Spec-Bench: A Comprehensive Benchmark and Unified Evaluation Platform for Speculative Decoding (ACL 2024 Findings)β299Updated 3 months ago
- Code associated with the paper **Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding**β198Updated 5 months ago
- A curated list of early exiting (LLM, CV, NLP, etc)β58Updated 11 months ago
- PyTorch implementation of paper "Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline".β90Updated 2 years ago
- [TKDE'25] The official GitHub page for the survey paper "A Survey on Mixture of Experts in Large Language Models".β398Updated 2 weeks ago
- Official implementation of ICML 2024 paper "ExCP: Extreme LLM Checkpoint Compression via Weight-Momentum Joint Shrinking".β48Updated last year
- Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)β64Updated 4 months ago
- [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cacheβ312Updated 6 months ago
- The official implementation of the paper "Towards Efficient Mixture of Experts: A Holistic Study of Compression Techniques (TMLR)".β72Updated 4 months ago
- β331Updated last year
- β54Updated 8 months ago
- The Official Implementation of Ada-KV: Optimizing KV Cache Eviction by Adaptive Budget Allocation for Efficient LLM Inferenceβ87Updated last month
- [ICML 2024 Oral] Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMsβ111Updated last month
- [NeurIPS 2024] The official implementation of "Kangaroo: Lossless Self-Speculative Decoding for Accelerating LLMs via Double Early Exitinβ¦β59Updated last year
- Since the emergence of chatGPT in 2022, the acceleration of Large Language Model has become increasingly important. Here is a list of papβ¦β264Updated 5 months ago
- [AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Modelsβ57Updated last year
- Pytorch implementation of our paper accepted by ICML 2024 -- CaM: Cache Merging for Memory-efficient LLMs Inferenceβ42Updated last year
- Efficient Mixture of Experts for LLM Paper Listβ87Updated 7 months ago