HuangOwen / Awesome-LLM-CompressionLinks
Awesome LLM compression research papers and tools.
☆1,671Updated 3 months ago
Alternatives and similar repositories for Awesome-LLM-Compression
Users that are interested in Awesome-LLM-Compression are comparing it to the libraries listed below
Sorting:
- A curated list for Efficient Large Language Models☆1,873Updated 3 months ago
- [TMLR 2024] Efficient Large Language Models: A Survey☆1,219Updated 3 months ago
- 📰 Must-read papers and blogs on Speculative Decoding ⚡️☆949Updated 2 weeks ago
- [NeurIPS 2023] LLM-Pruner: On the Structural Pruning of Large Language Models. Support Llama-3/3.1, Llama-2, LLaMA, BLOOM, Vicuna, Baich…☆1,066Updated 11 months ago
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆1,512Updated last year
- Fast inference from large lauguage models via speculative decoding☆827Updated last year
- This repository collects papers for "A Survey on Knowledge Distillation of Large Language Models". We break down KD into Knowledge Elicit…☆1,179Updated 6 months ago
- A simple and effective LLM pruning approach.☆803Updated last year
- 📰 Must-read papers and blogs on LLM based Long Context Modeling 🔥☆1,741Updated last week
- List of papers related to neural network quantization in recent AI conferences and journals.☆730Updated 6 months ago
- 📚A curated list of Awesome LLM/VLM Inference Papers with Codes: Flash-Attention, Paged-Attention, WINT8/4, Parallelism, etc.🎉☆4,565Updated last month
- Awesome list for LLM pruning.☆263Updated this week
- Analyze the inference of Large Language Models (LLMs). Analyze aspects like computation, storage, transmission, and hardware roofline mod…☆559Updated last year
- Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".☆837Updated last year
- Large Language Model (LLM) Systems Paper List☆1,510Updated this week
- Official Implementation of EAGLE-1 (ICML'24), EAGLE-2 (EMNLP'24), and EAGLE-3 (NeurIPS'25).☆1,856Updated last week
- [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration☆3,282Updated 2 months ago
- A collection of AWESOME things about mixture-of-experts☆1,209Updated 9 months ago
- 📰 Must-read papers on KV Cache Compression (constantly updating 🤗).☆546Updated this week
- ☆608Updated 4 months ago
- [ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding☆1,282Updated 6 months ago
- A curated reading list of research in Mixture-of-Experts(MoE).☆644Updated 11 months ago
- Spec-Bench: A Comprehensive Benchmark and Unified Evaluation Platform for Speculative Decoding (ACL 2024 Findings)☆314Updated 5 months ago
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆758Updated 6 months ago
- Awesome-LLM-KV-Cache: A curated list of 📙Awesome LLM KV Cache Papers with Codes.☆366Updated 6 months ago
- [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.☆853Updated 4 months ago
- ⛷️ LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-training (EMNLP 2024)☆989Updated 9 months ago
- [NeurIPS'24 Spotlight, ICLR'25, ICML'25] To speed up Long-context LLMs' inference, approximate and dynamic sparse calculate the attention…☆1,133Updated this week
- Awesome list for LLM quantization☆312Updated this week
- A powerful toolkit for compressing large models including LLM, VLM, and video generation models.☆576Updated last month