UbiquitousLearning / Efficient_Foundation_Model_Survey
Survey Paper List - Efficient LLM and Foundation Models
β239Updated 4 months ago
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
- The official GitHub page for the survey paper "A Survey on Mixture of Experts in Large Language Models".β241Updated last month
- π° Must-read papers on KV Cache Compression (constantly updating π€).β306Updated 2 weeks ago
- a curated list of high-quality papers on resource-efficient LLMs π±β103Updated 3 weeks ago
- β99Updated last year
- Awesome-LLM-KV-Cache: A curated list of πAwesome LLM KV Cache Papers with Codes.β208Updated 2 months ago
- Awesome list for LLM pruning.β203Updated 2 months ago
- Spec-Bench: A Comprehensive Benchmark and Unified Evaluation Platform for Speculative Decoding (ACL 2024 Findings)β223Updated 3 months ago
- Awesome list for LLM quantizationβ170Updated last month
- Awesome LLM pruning papers all-in-one repository with integrating all useful resources and insights.β71Updated 2 months ago
- π° Must-read papers and blogs on Speculative Decoding β‘οΈβ597Updated this week
- Since the emergence of chatGPT in 2022, the acceleration of Large Language Model has become increasingly important. Here is a list of papβ¦β220Updated 2 months ago
- [NeurIPS'23] H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models.β421Updated 6 months ago
- Code associated with the paper **Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding**β160Updated last week
- This repository serves as a comprehensive survey of LLM development, featuring numerous research papers along with their corresponding coβ¦β64Updated this week
- β314Updated 10 months ago
- [ICML 2024] Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inferenceβ245Updated 2 months ago
- Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)β51Updated last week
- [NeurIPS 2024 Oralπ₯] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.β140Updated 4 months ago
- [TMLR 2024] Efficient Large Language Models: A Surveyβ1,097Updated 2 weeks ago
- Curated collection of papers in MoE model inferenceβ64Updated this week
- PyTorch implementation of paper "Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline".β81Updated last year
- [ICML 2024] Official code for the paper "Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark ".β86Updated 7 months ago
- GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLMβ157Updated 7 months ago
- paper and its code for AI Systemβ272Updated 3 weeks ago
- Unofficial implementation for the paper "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"β145Updated 8 months ago
- β220Updated 9 months ago
- [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cacheβ272Updated last month
- Analyze the inference of Large Language Models (LLMs). Analyze aspects like computation, storage, transmission, and hardware roofline modβ¦β392Updated 5 months ago
- Official implementation for Yuan & Liu & Zhong et al., KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark oβ¦β66Updated last month
- β76Updated 2 years ago