zhuyunqi96 / LoraLPrun
☆13Updated last year
Alternatives and similar repositories for LoraLPrun:
Users that are interested in LoraLPrun are comparing it to the libraries listed below
- [ACL 2023] Code for paper “Tailoring Instructions to Student’s Learning Levels Boosts Knowledge Distillation”(https://arxiv.org/abs/2305.…☆38Updated last year
- ☆31Updated last year
- ☆16Updated 8 months ago
- [NeurIPS 2024] | An Efficient Recipe for Long Context Extension via Middle-Focused Positional Encoding☆15Updated 5 months ago
- SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Model https://arxiv.org/pdf/2411.02433☆24Updated 3 months ago
- Offical code repository for PromptMix: A Class Boundary Augmentation Method for Large Language Model Distillation, EMNLP 2023☆12Updated last year
- [ACL 2023] PuMer: Pruning and Merging Tokens for Efficient Vision Language Models☆29Updated 6 months ago
- ☆17Updated last month
- [ICML 2023] "Data Efficient Neural Scaling Law via Model Reusing" by Peihao Wang, Rameswar Panda, Zhangyang Wang☆14Updated last year
- [NeurIPS 2023] Make Your Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning☆31Updated last year
- ☆33Updated last year
- Structured Pruning Adapters in PyTorch☆16Updated last year
- The this is the official implementation of "DAPE: Data-Adaptive Positional Encoding for Length Extrapolation"☆37Updated 5 months ago
- Offcial Repo of Paper "Eliminating Position Bias of Language Models: A Mechanistic Approach""☆13Updated 7 months ago
- ☆14Updated last year
- Mixture of Attention Heads☆43Updated 2 years ago
- [NeurIPS 2024] A Novel Rank-Based Metric for Evaluating Large Language Models☆43Updated 4 months ago
- [EMNLP 2023]Context Compression for Auto-regressive Transformers with Sentinel Tokens☆24Updated last year
- The source code of "Merging Experts into One: Improving Computational Efficiency of Mixture of Experts (EMNLP 2023)":☆36Updated 11 months ago
- On the Effectiveness of Parameter-Efficient Fine-Tuning☆38Updated last year
- PyTorch implementation of StableMask (ICML'24)☆12Updated 9 months ago
- ☆27Updated last year
- If CLIP Could Talk: Understanding Vision-Language Model Representations Through Their Preferred Concept Descriptions☆16Updated 11 months ago
- [ICLR 2025] LongPO: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization☆31Updated last month
- Official repository of "Distort, Distract, Decode: Instruction-Tuned Model Can Refine its Response from Noisy Instructions", ICLR 2024 Sp…☆20Updated last year
- [ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal…☆48Updated 2 years ago
- Code for "Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective"☆32Updated 10 months ago
- Codebase for Instruction Following without Instruction Tuning☆33Updated 6 months ago
- Pytorch Implementation of the Model from "MIRASOL3B: A MULTIMODAL AUTOREGRESSIVE MODEL FOR TIME-ALIGNED AND CONTEXTUAL MODALITIES"☆26Updated 2 months ago
- Official code for "pi-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation", ICML 2023.☆32Updated last year