Fsoft-AIC / LibMoELinks
LibMoE: A LIBRARY FOR COMPREHENSIVE BENCHMARKING MIXTURE OF EXPERTS IN LARGE LANGUAGE MODELS
☆45Updated last week
Alternatives and similar repositories for LibMoE
Users that are interested in LibMoE are comparing it to the libraries listed below
Sorting:
- Code for NOLA, an implementation of "nola: Compressing LoRA using Linear Combination of Random Basis"☆57Updated last year
- Survey: A collection of AWESOME papers and resources on the latest research in Mixture of Experts.☆139Updated last year
- ☆30Updated 2 years ago
- Implementation of the paper: "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"☆111Updated last week
- Official PyTorch Implementation of "The Hidden Attention of Mamba Models"☆231Updated last month
- [ICLR 2025] When Attention Sink Emerges in Language Models: An Empirical View (Spotlight)☆143Updated 5 months ago
- [NeurIPS 2024 Spotlight] EMR-Merging: Tuning-Free High-Performance Model Merging☆72Updated 9 months ago
- The this is the official implementation of "DAPE: Data-Adaptive Positional Encoding for Length Extrapolation"☆39Updated last year
- [NeurIPS 2025] Sparse Autoencoders Learn Monosemantic Features in Vision-Language Models☆49Updated 2 weeks ago
- Official PyTorch Implementation for Vision-Language Models Create Cross-Modal Task Representations, ICML 2025☆31Updated 7 months ago
- ☆145Updated last year
- Code and benchmark for the paper: "A Practitioner's Guide to Continual Multimodal Pretraining" [NeurIPS'24]☆60Updated last year
- Code for paper "Unraveling Cross-Modality Knowledge Conflicts in Large Vision-Language Models."☆49Updated last year
- Enhancing Large Vision Language Models with Self-Training on Image Comprehension.☆70Updated last year
- ☆200Updated last year
- [NAACL 2025] A Closer Look into Mixture-of-Experts in Large Language Models☆55Updated 10 months ago
- [ICLR 2024] This is the repository for the paper titled "DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning"☆99Updated last year
- The official implementation of the paper "What Matters in Transformers? Not All Attention is Needed".☆185Updated 3 weeks ago
- Official implementation of MAIA, A Multimodal Automated Interpretability Agent☆99Updated last month
- Official code for our paper, "LoRA-Pro: Are Low-Rank Adapters Properly Optimized? "☆137Updated 8 months ago
- ☆134Updated 9 months ago
- [ICLR 2025] Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models☆147Updated 5 months ago
- [Arxiv] Aligning Modalities in Vision Large Language Models via Preference Fine-tuning☆90Updated last year
- Awesome Low-Rank Adaptation☆55Updated 4 months ago
- [Technical Report] Official PyTorch implementation code for realizing the technical part of Phantom of Latent representing equipped with …☆61Updated last year
- Model Merging with SVD to Tie the KnOTS [ICLR 2025]☆80Updated 8 months ago
- Official implementation of Phi-Mamba. A MOHAWK-distilled model (Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Mode…☆116Updated last year
- [ACL2025] Unsolvable Problem Detection: Robust Understanding Evaluation for Large Multimodal Models☆79Updated 6 months ago
- [ICML 2024 Oral] Official code repository for MLLM-as-a-Judge.☆86Updated 9 months ago
- Distillation Contrastive Decoding: Improving LLMs Reasoning with Contrastive Decoding and Distillation☆35Updated last year