jongwooko / distillm-2Links
Official PyTorch implementation of DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs (ICML 2025 Oral)
☆41Updated 3 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
- [NeurIPS 2024 Spotlight] EMR-Merging: Tuning-Free High-Performance Model Merging☆69Updated 7 months ago
- ☆59Updated 9 months ago
- Code accompanying the paper "Massive Activations in Large Language Models"☆183Updated last year
- [EMNLP 2023, Main Conference] Sparse Low-rank Adaptation of Pre-trained Language Models☆83Updated 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
- Compressed LLMs for Efficient Text Generation [ICLR'24 Workshop]☆88Updated last year
- [ICLR 2025] When Attention Sink Emerges in Language Models: An Empirical View (Spotlight)☆125Updated 3 months ago
- LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning☆35Updated last year
- ☆20Updated 10 months ago
- Codes for Merging Large Language Models☆33Updated last year
- [ICLR 2025] MiniPLM: Knowledge Distillation for Pre-Training Language Models☆60Updated 10 months ago
- A curated list of Model Merging methods.☆92Updated last year
- The this is the official implementation of "DAPE: Data-Adaptive Positional Encoding for Length Extrapolation"☆39Updated last year
- An Efficient LLM Fine-Tuning Factory Optimized for MoE PEFT☆120Updated 7 months ago
- A Sober Look at Language Model Reasoning☆83Updated last week
- Awesome-Low-Rank-Adaptation☆117Updated 11 months ago
- AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.☆90Updated 11 months ago
- ThinK: Thinner Key Cache by Query-Driven Pruning☆24Updated 8 months ago
- Official code for our paper, "LoRA-Pro: Are Low-Rank Adapters Properly Optimized? "☆132Updated 6 months ago
- ☆19Updated 8 months ago
- [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…☆67Updated last year
- Code for paper "Parameter Efficient Multi-task Model Fusion with Partial Linearization"☆22Updated last year
- ☆75Updated 3 years ago
- Code for "Everybody Prune Now: Structured Pruning of LLMs with only Forward Passes"☆28Updated last year
- ☆129Updated 7 months ago
- Implementation of CoLA: Compute-Efficient Pre-Training of LLMs via Low-Rank Activation☆23Updated 7 months ago
- AnchorAttention: Improved attention for LLMs long-context training☆213Updated 8 months ago
- ☆11Updated 2 months ago
- ☆16Updated last year