pan-x-c / EE-LLMLinks
EE-LLM is a framework for large-scale training and inference of early-exit (EE) large language models (LLMs).
☆66Updated last year
Alternatives and similar repositories for EE-LLM
Users that are interested in EE-LLM are comparing it to the libraries listed below
Sorting:
- GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM☆165Updated last year
- [NeurIPS 2024] The official implementation of "Kangaroo: Lossless Self-Speculative Decoding for Accelerating LLMs via Double Early Exitin…☆59Updated last year
- ☆139Updated 6 months ago
- Unofficial implementation for the paper "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"☆170Updated last year
- ☆273Updated last month
- The official implementation of the paper "Towards Efficient Mixture of Experts: A Holistic Study of Compression Techniques (TMLR)".☆73Updated 5 months ago
- Explorations into some recent techniques surrounding speculative decoding☆282Updated 8 months ago
- [ICLR 2025] Palu: Compressing KV-Cache with Low-Rank Projection☆132Updated 6 months ago
- [ICLR 2024 Spotlight] Code for the paper "Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy"☆91Updated 2 months ago
- ☆123Updated 2 months ago
- Simple extension on vLLM to help you speed up reasoning model without training.☆177Updated 2 months ago
- Activation-aware Singular Value Decomposition for Compressing Large Language Models☆75Updated 10 months ago
- [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache☆315Updated 7 months ago
- This repo contains the source code for: Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs☆39Updated last year
- Official Implementation of SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks☆38Updated 6 months ago
- [ICLR2025] Breaking Throughput-Latency Trade-off for Long Sequences with Speculative Decoding☆125Updated 8 months ago
- Code associated with the paper **Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding**☆201Updated 6 months ago
- [CoLM'25] The official implementation of the paper <MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression>☆145Updated last month
- An unofficial implementation of "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"☆35Updated last year
- Ouroboros: Speculative Decoding with Large Model Enhanced Drafting (EMNLP 2024 main)☆109Updated 5 months ago
- [ACL 2024] Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models☆101Updated last year
- ☆38Updated 11 months ago
- ☆226Updated last year
- Unofficial implementations of block/layer-wise pruning methods for LLMs.☆72Updated last year
- Official Implementation of SAM-Decoding: Speculative Decoding via Suffix Automaton☆31Updated 6 months ago
- ☆202Updated 8 months ago
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆372Updated last year
- Code for studying the super weight in LLM☆115Updated 8 months ago
- Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding (EMNLP 2023 Long)☆62Updated 10 months ago
- Official Pytorch Implementation of "Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity"☆73Updated last month