song-wx / SIFTLinks
[ICML2024 Spotlight] Fine-Tuning Pre-trained Large Language Models Sparsely
☆23Updated last year
Alternatives and similar repositories for SIFT
Users that are interested in SIFT are comparing it to the libraries listed below
Sorting:
- [NAACL 2025] A Closer Look into Mixture-of-Experts in Large Language Models☆54Updated 6 months ago
- [ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal…☆54Updated 2 years ago
- ☆19Updated 7 months ago
- Code for ICLR 2025 Paper "What is Wrong with Perplexity for Long-context Language Modeling?"☆95Updated last month
- [NeurIPS 2024 Spotlight] Code and data for the paper "Finding Transformer Circuits with Edge Pruning".☆59Updated last week
- Code for "Everybody Prune Now: Structured Pruning of LLMs with only Forward Passes"☆28Updated last year
- [ICML 2024] Junk DNA Hypothesis: A Task-Centric Angle of LLM Pre-trained Weights through Sparsity; Lu Yin*, Ajay Jaiswal*, Shiwei Liu, So…☆16Updated 4 months ago
- [ICLR 2025] When Attention Sink Emerges in Language Models: An Empirical View (Spotlight)☆116Updated last month
- Official implementation of the paper: "A deeper look at depth pruning of LLMs"☆15Updated last year
- Long Context Extension and Generalization in LLMs☆58Updated 11 months ago
- [ICML‘2024] "LoCoCo: Dropping In Convolutions for Long Context Compression", Ruisi Cai, Yuandong Tian, Zhangyang Wang, Beidi Chen☆17Updated 11 months ago
- ☆48Updated last month
- Codebase for Instruction Following without Instruction Tuning☆35Updated 11 months ago
- [NeurIPS 2023] Make Your Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning☆31Updated 2 years ago
- SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Model https://arxiv.org/pdf/2411.02433☆28Updated 8 months ago
- Exploration of automated dataset selection approaches at large scales.☆47Updated 5 months ago
- Code for paper "Patch-Level Training for Large Language Models"☆86Updated 9 months ago
- Official implementation of Bootstrapping Language Models via DPO Implicit Rewards☆44Updated 4 months ago
- ☆24Updated 3 months ago
- [ICLR 2025] MiniPLM: Knowledge Distillation for Pre-Training Language Models☆57Updated 9 months ago
- ☆30Updated last year
- ☆65Updated last year
- [NeurIPS'24 Spotlight] Observational Scaling Laws☆56Updated 10 months ago
- A Sober Look at Language Model Reasoning☆81Updated 2 months ago
- [NeurIPS-2024] 📈 Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies https://arxiv.org/abs/2407.13623☆86Updated 10 months ago
- ☆85Updated 3 weeks ago
- Code accompanying the paper "Massive Activations in Large Language Models"☆176Updated last year
- ☆85Updated 7 months ago
- Kinetics: Rethinking Test-Time Scaling Laws☆76Updated last month
- ☆39Updated 4 months ago