sramshetty / ShortGPTLinks
Unofficial implementations of block/layer-wise pruning methods for LLMs.
☆72Updated last year
Alternatives and similar repositories for ShortGPT
Users that are interested in ShortGPT are comparing it to the libraries listed below
Sorting:
- [ICML 2024] Official Implementation of SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks☆37Updated 9 months ago
- Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)☆67Updated 7 months ago
- Activation-aware Singular Value Decomposition for Compressing Large Language Models☆80Updated last year
- [ACL 2024] Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models☆109Updated last year
- [AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models☆63Updated last year
- Unofficial implementation for the paper "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"☆175Updated last year
- [ICML24] Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for LLMs☆94Updated 11 months ago
- [ICLR‘24 Spotlight] Code for the paper "Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy"☆97Updated 4 months ago
- [NeurIPS 2024] The official implementation of "Kangaroo: Lossless Self-Speculative Decoding for Accelerating LLMs via Double Early Exitin…☆61Updated last year
- ☆147Updated 8 months ago
- Official implementation for LaCo (EMNLP 2024 Findings)☆20Updated last year
- Multi-Candidate Speculative Decoding☆36Updated last year
- [ACL 2025] Squeezed Attention: Accelerating Long Prompt LLM Inference☆54Updated 11 months ago
- ☆48Updated 11 months ago
- An unofficial implementation of "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"☆36Updated last year
- [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…☆67Updated last year
- GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM☆169Updated last year
- [ICLR 2025] SWIFT: On-the-Fly Self-Speculative Decoding for LLM Inference Acceleration☆56Updated 8 months ago
- ☆234Updated last year
- ☆22Updated 11 months ago
- ☆120Updated 5 months ago
- D^2-MoE: Delta Decompression for MoE-based LLMs Compression☆69Updated 7 months ago
- The official implementation of the paper "Towards Efficient Mixture of Experts: A Holistic Study of Compression Techniques (TMLR)".☆79Updated 7 months ago
- [EMNLP 2024] Quantize LLM to extremely low-bit, and finetune the quantized LLMs☆14Updated last year
- This repo contains the source code for: Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs☆41Updated last year
- [NeurIPS 24 Spotlight] MaskLLM: Learnable Semi-structured Sparsity for Large Language Models☆179Updated 10 months ago
- ☆61Updated 2 years ago
- Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding (EMNLP 2023 Long)☆64Updated last year
- Code associated with the paper **Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding**☆206Updated 9 months ago
- Compressed LLMs for Efficient Text Generation [ICLR'24 Workshop]☆88Updated last year