BaohaoLiao / meftsLinks
[NeurIPS 2023] Make Your Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning
☆31Updated 2 years ago
Alternatives and similar repositories for mefts
Users that are interested in mefts are comparing it to the libraries listed below
Sorting:
- On the Effectiveness of Parameter-Efficient Fine-Tuning☆38Updated last year
- [ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal…☆55Updated 2 years ago
- [ICLR 2024] This is the repository for the paper titled "DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning"☆96Updated last year
- Mixture of Attention Heads☆49Updated 3 years ago
- [ACL 2023] Code for paper “Tailoring Instructions to Student’s Learning Levels Boosts Knowledge Distillation”(https://arxiv.org/abs/2305.…☆38Updated 2 years ago
- PyTorch codes for the paper "An Empirical Study of Multimodal Model Merging"☆37Updated last year
- Code for "Merging Text Transformers from Different Initializations"☆19Updated 8 months ago
- The released data for paper "Measuring and Improving Chain-of-Thought Reasoning in Vision-Language Models".☆34Updated 2 years ago
- Code for paper "Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning"☆83Updated last year
- ☆30Updated 2 years ago
- [ICML2024 Spotlight] Fine-Tuning Pre-trained Large Language Models Sparsely☆22Updated last year
- [EVA ICLR'23; LARA ICML'22] Efficient attention mechanisms via control variates, random features, and importance sampling☆86Updated 2 years ago
- Official PyTorch Implementation of EMoE: Unlocking Emergent Modularity in Large Language Models [main conference @ NAACL2024]☆35Updated last year
- [NAACL 2025] A Closer Look into Mixture-of-Experts in Large Language Models☆55Updated 8 months ago
- Code for paper "UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning", ACL 2022☆63Updated 3 years ago
- One Network, Many Masks: Towards More Parameter-Efficient Transfer Learning☆40Updated 2 years ago
- ☆40Updated last year
- The source code of "Merging Experts into One: Improving Computational Efficiency of Mixture of Experts (EMNLP 2023)":☆38Updated last year
- Residual Prompt Tuning: a method for faster and better prompt tuning.☆56Updated 2 years ago
- ☆14Updated last year
- [EMNLP 2023]Context Compression for Auto-regressive Transformers with Sentinel Tokens☆25Updated last year
- Code for "Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective"☆32Updated last year
- Source code for the paper "Prefix Language Models are Unified Modal Learners"☆43Updated 2 years ago
- [2024-ACL]: TextBind: Multi-turn Interleaved Multimodal Instruction-following in the Wildrounded Conversation☆46Updated 2 years ago
- Sparkles: Unlocking Chats Across Multiple Images for Multimodal Instruction-Following Models☆44Updated last year
- Codes for Merging Large Language Models☆33Updated last year
- Official code for "pi-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation", ICML 2023.☆33Updated 2 years ago
- Code for the ACL-2022 paper "StableMoE: Stable Routing Strategy for Mixture of Experts"☆50Updated 3 years ago
- VaLM: Visually-augmented Language Modeling. ICLR 2023.☆56Updated 2 years ago
- Code for paper "Patch-Level Training for Large Language Models"☆88Updated 10 months ago