jongwooko / distillm-2Links
Official PyTorch implementation of DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs (ICML 2025 Oral)
☆54Updated 6 months ago
Alternatives and similar repositories for distillm-2
Users that are interested in distillm-2 are comparing it to the libraries listed below
Sorting:
- Official implementation of "DoRA: Weight-Decomposed Low-Rank Adaptation"☆124Updated last year
- AnchorAttention: Improved attention for LLMs long-context training☆213Updated 11 months ago
- LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning☆36Updated last year
- Code accompanying the paper "Massive Activations in Large Language Models"☆191Updated last year
- [ICLR 2025] When Attention Sink Emerges in Language Models: An Empirical View (Spotlight)☆151Updated 6 months ago
- [ICLR‘24 Spotlight] Code for the paper "Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy"☆103Updated 6 months ago
- [ICLR2025] Codebase for "ReMoE: Fully Differentiable Mixture-of-Experts with ReLU Routing", built on Megatron-LM.☆104Updated last year
- ☆62Updated last year
- [ACL 2024] Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models☆113Updated last year
- Official code for our paper, "LoRA-Pro: Are Low-Rank Adapters Properly Optimized? "☆142Updated 9 months ago
- [EMNLP 2023, Main Conference] Sparse Low-rank Adaptation of Pre-trained Language Models☆84Updated last year
- [NeurIPS 2024 Main Track] Code for the paper titled "Instruction Tuning With Loss Over Instructions"☆38Updated last year
- Compressed LLMs for Efficient Text Generation [ICLR'24 Workshop]☆89Updated last year
- [ICLR 2025] MiniPLM: Knowledge Distillation for Pre-Training Language Models☆71Updated last year
- The official implementation of the paper "What Matters in Transformers? Not All Attention is Needed".☆187Updated 2 months ago
- Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding (EMNLP 2023 Long)☆65Updated last year
- A Sober Look at Language Model Reasoning☆92Updated last month
- ☆23Updated last year
- [NeurIPS-2024] 📈 Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies https://arxiv.org/abs/2407.13623☆89Updated last year
- [ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal…☆56Updated 2 years ago
- ☆85Updated 2 months ago
- [NeurIPS 2024 Spotlight] EMR-Merging: Tuning-Free High-Performance Model Merging☆74Updated 10 months ago
- dParallel: Learnable Parallel Decoding for dLLMs☆53Updated 3 months ago
- Long Context Extension and Generalization in LLMs☆62Updated last year
- ☆143Updated 4 months ago
- Official PyTorch implementation of DistiLLM: Towards Streamlined Distillation for Large Language Models (ICML 2024)☆248Updated 10 months ago
- ☆204Updated last year
- [NAACL 2025] A Closer Look into Mixture-of-Experts in Large Language Models☆57Updated 11 months ago
- A curated list of Model Merging methods.☆95Updated last month
- Implementation of the paper: "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"☆111Updated last month