horseee / Awesome-Efficient-LLMLinks
A curated list for Efficient Large Language Models
☆1,860Updated 2 months ago
Alternatives and similar repositories for Awesome-Efficient-LLM
Users that are interested in Awesome-Efficient-LLM are comparing it to the libraries listed below
Sorting:
- Awesome LLM compression research papers and tools.☆1,656Updated 2 months ago
- [TMLR 2024] Efficient Large Language Models: A Survey☆1,212Updated 2 months ago
- 📰 Must-read papers and blogs on Speculative Decoding ⚡️☆917Updated last week
- 📚A curated list of Awesome LLM/VLM Inference Papers with Codes: Flash-Attention, Paged-Attention, WINT8/4, Parallelism, etc.🎉☆4,475Updated 3 weeks ago
- 📰 Must-read papers and blogs on LLM based Long Context Modeling 🔥☆1,712Updated this week
- Fast inference from large lauguage models via speculative decoding☆814Updated last year
- This repository collects papers for "A Survey on Knowledge Distillation of Large Language Models". We break down KD into Knowledge Elicit…☆1,158Updated 6 months ago
- [NeurIPS 2023] LLM-Pruner: On the Structural Pruning of Large Language Models. Support Llama-3/3.1, Llama-2, LLaMA, BLOOM, Vicuna, Baich…☆1,058Updated 11 months ago
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆1,492Updated last year
- Large Language Model (LLM) Systems Paper List☆1,481Updated last week
- A collection of AWESOME things about mixture-of-experts☆1,198Updated 9 months ago
- Official Implementation of EAGLE-1 (ICML'24), EAGLE-2 (EMNLP'24), and EAGLE-3.☆1,635Updated this week
- [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration☆3,246Updated last month
- ☆609Updated 4 months ago
- 📰 Must-read papers on KV Cache Compression (constantly updating 🤗).☆531Updated last month
- ⛷️ LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-training (EMNLP 2024)☆986Updated 9 months ago
- A simple and effective LLM pruning approach.☆799Updated last year
- A curated reading list of research in Mixture-of-Experts(MoE).☆643Updated 10 months ago
- List of papers related to neural network quantization in recent AI conferences and journals.☆710Updated 5 months ago
- Analyze the inference of Large Language Models (LLMs). Analyze aspects like computation, storage, transmission, and hardware roofline mod…☆547Updated last year
- [ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding☆1,276Updated 6 months ago
- My learning notes/codes for ML SYS.☆3,572Updated this week
- Awesome list for LLM pruning.☆257Updated this week
- Awesome-LLM-KV-Cache: A curated list of 📙Awesome LLM KV Cache Papers with Codes.☆358Updated 6 months ago
- Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads☆2,608Updated last year
- LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalabili…☆3,587Updated this week
- [NeurIPS'24 Spotlight, ICLR'25, ICML'25] To speed up Long-context LLMs' inference, approximate and dynamic sparse calculate the attention…☆1,124Updated last month
- Awesome list for LLM quantization☆297Updated last week
- [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning☆630Updated last year
- A family of open-sourced Mixture-of-Experts (MoE) Large Language Models☆1,584Updated last year