horseee / Awesome-Efficient-LLMLinks
A curated list for Efficient Large Language Models
☆1,736Updated this week
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.☆1,567Updated last week
- [TMLR 2024] Efficient Large Language Models: A Survey☆1,172Updated this week
- 📰 Must-read papers and blogs on Speculative Decoding ⚡️☆792Updated this week
- Official Implementation of EAGLE-1 (ICML'24), EAGLE-2 (EMNLP'24), and EAGLE-3.☆1,325Updated last week
- 📚A curated list of Awesome LLM Inference Papers with Codes.☆4,124Updated this week
- 📰 Must-read papers and blogs on LLM based Long Context Modeling 🔥☆1,531Updated this week
- [NeurIPS 2023] LLM-Pruner: On the Structural Pruning of Large Language Models. Support Llama-3/3.1, Llama-2, LLaMA, BLOOM, Vicuna, Baich…☆1,023Updated 8 months ago
- Fast inference from large lauguage models via speculative decoding☆762Updated 10 months ago
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆1,426Updated 11 months ago
- This repository collects papers for "A Survey on Knowledge Distillation of Large Language Models". We break down KD into Knowledge Elicit…☆1,074Updated 3 months ago
- [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration☆3,081Updated last week
- Large Language Model (LLM) Systems Paper List☆1,318Updated this week
- [ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding☆1,258Updated 3 months ago
- FlashInfer: Kernel Library for LLM Serving☆3,211Updated this week
- A simple and effective LLM pruning approach.☆760Updated 10 months ago
- A family of open-sourced Mixture-of-Experts (MoE) Large Language Models☆1,544Updated last year
- ☆593Updated last month
- Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads☆2,549Updated 11 months ago
- Analyze the inference of Large Language Models (LLMs). Analyze aspects like computation, storage, transmission, and hardware roofline mod…☆480Updated 9 months ago
- Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".☆2,128Updated last year
- Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".☆809Updated 10 months ago
- My learning notes/codes for ML SYS.☆2,498Updated this week
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆705Updated 3 months ago
- [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning☆617Updated last year
- ⛷️ LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-training (EMNLP 2024)☆967Updated 6 months ago
- [NeurIPS'24 Spotlight, ICLR'25, ICML'25] To speed up Long-context LLMs' inference, approximate and dynamic sparse calculate the attention…☆1,055Updated this week
- [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.☆819Updated 3 weeks ago
- AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference. Documentation:☆2,193Updated last month
- 🚀 Efficient implementations of state-of-the-art linear attention models in Torch and Triton☆2,753Updated this week
- Ongoing research training transformer language models at scale, including: BERT & GPT-2☆2,088Updated 2 months ago