sramshetty / ShortGPTLinks
Unofficial implementations of block/layer-wise pruning methods for LLMs.
☆69Updated last year
Alternatives and similar repositories for ShortGPT
Users that are interested in ShortGPT are comparing it to the libraries listed below
Sorting:
- Official Implementation of SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks☆37Updated 4 months ago
- Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)☆59Updated 2 months ago
- An unofficial implementation of "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"☆35Updated 11 months ago
- ☆42Updated 6 months ago
- Activation-aware Singular Value Decomposition for Compressing Large Language Models☆67Updated 7 months ago
- [ICLR 2024 Spotlight] Code for the paper "Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy"☆84Updated 11 months ago
- [AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models☆51Updated last year
- TokenSkip: Controllable Chain-of-Thought Compression in LLMs☆145Updated 2 months ago
- [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…☆65Updated last year
- Awesome LLM pruning papers all-in-one repository with integrating all useful resources and insights.☆88Updated 5 months ago
- D^2-MoE: Delta Decompression for MoE-based LLMs Compression☆48Updated 2 months ago
- ☆93Updated 2 weeks ago
- Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for LLMs☆82Updated 6 months ago
- [NeurIPS 2024] The official implementation of "Kangaroo: Lossless Self-Speculative Decoding for Accelerating LLMs via Double Early Exitin…☆57Updated 11 months ago
- QAQ: Quality Adaptive Quantization for LLM KV Cache☆50Updated last year
- ☆56Updated last year
- [EMNLP 2024] Quantize LLM to extremely low-bit, and finetune the quantized LLMs☆13Updated 10 months ago
- Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding (EMNLP 2023 Long)☆60Updated 8 months ago
- Code associated with the paper **Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding**☆186Updated 3 months ago
- Unofficial implementation for the paper "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"☆160Updated 11 months ago
- [ACL 2024] Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models☆89Updated last year
- ☆248Updated last year
- ☆36Updated 9 months ago
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆136Updated last week
- ☆129Updated 3 months ago
- [ICLR 2025] SWIFT: On-the-Fly Self-Speculative Decoding for LLM Inference Acceleration☆49Updated 3 months ago
- Quantized Side Tuning: Fast and Memory-Efficient Tuning of Quantized Large Language Models☆43Updated 6 months ago
- SQUEEZED ATTENTION: Accelerating Long Prompt LLM Inference☆46Updated 6 months ago
- Official Pytorch Implementation of "Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity"☆66Updated 11 months ago
- ☆28Updated 10 months ago