Qualcomm-AI-research / llm-surgeonLinks
☆30Updated last year
Alternatives and similar repositories for llm-surgeon
Users that are interested in llm-surgeon are comparing it to the libraries listed below
Sorting:
- Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)☆81Updated 2 years ago
- Code accompanying the paper "Massive Activations in Large Language Models"☆179Updated 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
- ☆50Updated last year
- ☆59Updated last year
- Official implementation of the ICML 2024 paper RoSA (Robust Adaptation)☆44Updated last year
- ☆31Updated 7 months ago
- Code for studying the super weight in LLM☆117Updated 9 months ago
- [ICML2024 Spotlight] Fine-Tuning Pre-trained Large Language Models Sparsely☆23Updated 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 5 months ago
- Activation-aware Singular Value Decomposition for Compressing Large Language Models☆78Updated 10 months ago
- ☆30Updated last year
- SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining (NeurIPS 2024)☆34Updated 10 months ago
- ☆85Updated last year
- ☆28Updated 7 months ago
- Kinetics: Rethinking Test-Time Scaling Laws☆80Updated 2 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 NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"☆83Updated 10 months ago
- ☆69Updated last year
- The official implementation of the paper "Towards Efficient Mixture of Experts: A Holistic Study of Compression Techniques (TMLR)".☆75Updated 6 months ago
- [NAACL 2025] A Closer Look into Mixture-of-Experts in Large Language Models☆55Updated 7 months ago
- AdaSplash: Adaptive Sparse Flash Attention (aka Flash Entmax Attention)☆20Updated 2 months ago
- [ICLR 2023] "Learning to Grow Pretrained Models for Efficient Transformer Training" by Peihao Wang, Rameswar Panda, Lucas Torroba Hennige…☆92Updated last year
- ☆38Updated last year
- [ICLR‘24 Spotlight] Code for the paper "Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy"☆93Updated 3 months ago
- ☆20Updated 9 months ago
- [ICLR 2025] When Attention Sink Emerges in Language Models: An Empirical View (Spotlight)☆124Updated 2 months ago
- Code release for Dataless Knowledge Fusion by Merging Weights of Language Models (https://openreview.net/forum?id=FCnohuR6AnM)☆91Updated 2 years ago
- ☆83Updated last year
- [ICML 2024] SPP: Sparsity-Preserved Parameter-Efficient Fine-Tuning for Large Language Models☆21Updated last year