cliang1453 / task-aware-distillation
Less is More: Task-aware Layer-wise Distillation for Language Model Compression (ICML2023)
☆34Updated last year
Alternatives and similar repositories for task-aware-distillation:
Users that are interested in task-aware-distillation are comparing it to the libraries listed below
- [NeurIPS 2024] Official code of $\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$☆41Updated 5 months ago
- Codes for Merging Large Language Models☆29Updated 7 months ago
- ☆16Updated last month
- [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
- ☆50Updated last year
- The source code of "Merging Experts into One: Improving Computational Efficiency of Mixture of Experts (EMNLP 2023)":☆36Updated 11 months ago
- ☆33Updated last year
- A family of efficient edge language models in 100M~1B sizes.☆13Updated last month
- [NeurIPS-2024] 📈 Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies https://arxiv.org/abs/2407.13623☆80Updated 6 months ago
- One Network, Many Masks: Towards More Parameter-Efficient Transfer Learning☆39Updated last year
- Source code for the TMLR paper "Black-Box Prompt Learning for Pre-trained Language Models"☆55Updated last year
- ☆17Updated 3 months ago
- [ICLR 2025] When Attention Sink Emerges in Language Models: An Empirical View (Spotlight)☆54Updated 5 months ago
- Code for ICLR 2025 Paper "What is Wrong with Perplexity for Long-context Language Modeling?"☆44Updated last month
- ☆37Updated last year
- [EMNLP 2023 Main] Sparse Low-rank Adaptation of Pre-trained Language Models☆72Updated last year
- TokenSkip: Controllable Chain-of-Thought Compression in LLMs☆98Updated last week
- [ICML 2024] Junk DNA Hypothesis: A Task-Centric Angle of LLM Pre-trained Weights through Sparsity; Lu Yin*, Ajay Jaiswal*, Shiwei Liu, So…☆16Updated 9 months ago
- ☆124Updated 8 months ago
- [AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models☆44Updated last year
- SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Model https://arxiv.org/pdf/2411.02433☆24Updated 3 months ago
- Test-time-training on nearest neighbors for large language models☆39Updated 11 months ago
- This pytorch package implements PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance (ICML 2022).☆43Updated 2 years ago
- [ACL 2023] Code for paper “Tailoring Instructions to Student’s Learning Levels Boosts Knowledge Distillation”(https://arxiv.org/abs/2305.…☆38Updated last year
- [AAAI 2024] MELO: Enhancing Model Editing with Neuron-indexed Dynamic LoRA☆25Updated 11 months ago
- 🚀LLaMA-MoE v2: Exploring Sparsity of LLaMA from Perspective of Mixture-of-Experts with Post-Training☆75Updated 3 months ago
- [ICML 2024] SPP: Sparsity-Preserved Parameter-Efficient Fine-Tuning for Large Language Models☆18Updated 9 months ago
- ☆50Updated last year
- Reproduction of "RLCD Reinforcement Learning from Contrast Distillation for Language Model Alignment☆67Updated last year
- TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models☆66Updated last year