pprp / Pruner-ZeroLinks
[ICML24] Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for LLMs
☆95Updated 11 months ago
Alternatives and similar repositories for Pruner-Zero
Users that are interested in Pruner-Zero are comparing it to the libraries listed below
Sorting:
- [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…☆67Updated last year
- 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
- [CoLM'25] The official implementation of the paper <MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression>☆150Updated 4 months ago
- [ACL 2024] Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models☆109Updated last year
- D^2-MoE: Delta Decompression for MoE-based LLMs Compression☆69Updated 7 months ago
- An unofficial implementation of "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"☆36Updated last year
- [ICLR‘24 Spotlight] Code for the paper "Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy"☆99Updated 4 months ago
- This repo contains the source code for: Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs☆41Updated last year
- Unofficial implementations of block/layer-wise pruning methods for LLMs.☆72Updated last year
- Are gradient information useful for pruning of LLMs?☆47Updated 2 months ago
- ☆10Updated last year
- [ACL 2024] RelayAttention for Efficient Large Language Model Serving with Long System Prompts☆40Updated last year
- The official implementation of the paper "Towards Efficient Mixture of Experts: A Holistic Study of Compression Techniques (TMLR)".☆80Updated 8 months ago
- [ICLR 2024] Jaiswal, A., Gan, Z., Du, X., Zhang, B., Wang, Z., & Yang, Y. Compressing llms: The truth is rarely pure and never simple.☆25Updated 6 months ago
- ☆130Updated 5 months ago
- [NeurIPS 24 Spotlight] MaskLLM: Learnable Semi-structured Sparsity for Large Language Models☆180Updated 10 months ago
- ☆61Updated 2 years ago
- ☆120Updated 5 months ago
- [ACL 2025] Squeezed Attention: Accelerating Long Prompt LLM Inference☆54Updated 11 months ago
- [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…☆39Updated last year
- Implementation for the paper: CMoE: Fast Carving of Mixture-of-Experts for Efficient LLM Inference☆30Updated 8 months ago
- [ICML 2024] When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models☆36Updated last year
- ☆148Updated 9 months ago
- ☆27Updated 7 months ago
- [COLM 2025] Official PyTorch implementation of "Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models"☆57Updated 4 months ago
- [ICML 2024] Official Implementation of SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks☆37Updated 9 months ago
- Fira: Can We Achieve Full-rank Training of LLMs Under Low-rank Constraint?☆115Updated last year
- ☆61Updated 4 months ago
- ☆103Updated 2 months ago