Are gradient information useful for pruning of LLMs?
☆47Aug 23, 2025Updated 6 months ago
Alternatives and similar repositories for GBLM-Pruner
Users that are interested in GBLM-Pruner are comparing it to the libraries listed below
Sorting:
- [ICML24] Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for LLMs☆98Nov 25, 2024Updated last year
- [ACL'22] Training-free Neural Architecture Search for RNNs and Transformers☆14May 26, 2024Updated last year
- [ICLR 2025] Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better☆16Feb 15, 2025Updated last year
- ☆34Aug 23, 2023Updated 2 years ago
- BESA is a differentiable weight pruning technique for large language models.☆17Mar 4, 2024Updated 2 years ago
- ☆30Jul 22, 2024Updated last year
- ☆18Nov 6, 2019Updated 6 years ago
- ☆35May 24, 2024Updated last year
- Official Pytorch Implementation of "Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity"☆81Jul 7, 2025Updated 7 months ago
- DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling☆36Jul 12, 2024Updated last year
- Official implementation of the ICLR paper "Streamlining Redundant Layers to Compress Large Language Models"☆40May 1, 2025Updated 10 months ago
- [ICML'24 Oral] APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference☆47Jun 4, 2024Updated last year
- [ICML 2024] Official Implementation of SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks☆39Feb 4, 2025Updated last year
- codes for ICML2021 paper iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients☆10May 27, 2021Updated 4 years ago
- TF-FD☆20Nov 19, 2022Updated 3 years ago
- Official PyTorch implementation of "Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets" (ICLR 2023 notable top 25%)☆26Mar 18, 2024Updated last year
- UIE(Universal Information Extraction) infer by ncnn☆15Sep 22, 2024Updated last year
- [ECMLPKDD 2020] "Topological Insights into Sparse Neural Networks"☆13May 2, 2022Updated 3 years ago
- ☆25Dec 11, 2021Updated 4 years ago
- Awesome list for LLM pruning.☆288Oct 11, 2025Updated 4 months ago
- ☆57Jun 10, 2024Updated last year
- Codes for DATA: Differentiable ArchiTecture Approximation.☆11Jul 22, 2021Updated 4 years ago
- [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"☆37Aug 20, 2024Updated last year
- Official PyTorch implementation of "Evolving Search Space for Neural Architecture Search"☆12Aug 18, 2021Updated 4 years ago
- ☆16Dec 9, 2023Updated 2 years ago
- [ICML2024] DetKDS: Knowledge Distillation Search for Object Detectors☆19Jul 11, 2024Updated last year
- [ICCV-2023] EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization☆28Dec 6, 2023Updated 2 years ago
- codes for Neural Architecture Ranker and detailed cell information datasets based on NAS-Bench series☆12Jul 11, 2022Updated 3 years ago
- ☆10Jul 25, 2024Updated last year
- ICML2019 Accepted Paper. Overcoming Multi-Model Forgetting☆14Jun 5, 2019Updated 6 years ago
- Code Implementation for "NASH: A Simple Unified Framework of Structured Pruning for Accelerating Encoder-Decoder Language Models" (EMNLP …☆17Oct 17, 2023Updated 2 years ago
- [AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models☆70Jan 6, 2024Updated 2 years ago
- [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization☆14Nov 27, 2024Updated last year
- Benchmarks for Macro Neural Architecture Search; used and described in the paper "Local Search is a Remarkably Strong Baseline for Neural…☆12Jul 25, 2024Updated last year
- Code for RepNAS☆14Dec 21, 2021Updated 4 years ago
- Data-free knowledge distillation using Gaussian noise (NeurIPS paper)☆15Mar 24, 2023Updated 2 years ago
- Auto-Prox-AAAI24☆14Apr 30, 2024Updated last year
- ☆20Aug 16, 2021Updated 4 years ago
- Simple pytorch classification baselines for MNIST, CIFAR and ImageNet☆19Aug 7, 2019Updated 6 years ago