Qualcomm-AI-research / llm-surgeonLinks
☆35Updated 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:
- Code accompanying the paper "Massive Activations in Large Language Models"☆195Updated 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
- Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)☆81Updated 2 years ago
- Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"☆88Updated last year
- Activation-aware Singular Value Decomposition for Compressing Large Language Models☆84Updated last year
- The official implementation of the paper "Towards Efficient Mixture of Experts: A Holistic Study of Compression Techniques (TMLR)".☆88Updated 10 months ago
- Code for studying the super weight in LLM☆120Updated last year
- ☆39Updated last year
- Kinetics: Rethinking Test-Time Scaling Laws☆85Updated 6 months ago
- ☆63Updated 2 years ago
- ☆91Updated last year
- ☆83Updated 2 years ago
- [ICML2024 Spotlight] Fine-Tuning Pre-trained Large Language Models Sparsely☆24Updated last year
- The official implementation of the paper "What Matters in Transformers? Not All Attention is Needed".☆188Updated 2 months ago
- The evaluation framework for training-free sparse attention in LLMs☆110Updated 3 months ago
- [NAACL 2025] A Closer Look into Mixture-of-Experts in Large Language Models☆58Updated 11 months ago
- SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining (NeurIPS 2024)☆39Updated last year
- Official implementation of the ICML 2024 paper RoSA (Robust Adaptation)☆44Updated last year
- One Initialization to Rule them All: Fine-tuning via Explained Variance Adaptation☆46Updated 3 months ago
- Language models scale reliably with over-training and on downstream tasks☆99Updated last year
- [ACL 2024] Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models☆113Updated last year
- [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…☆67Updated last year
- Repository of the paper "Accelerating Transformer Inference for Translation via Parallel Decoding"☆123Updated last year
- Official implementation of Phi-Mamba. A MOHAWK-distilled model (Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Mode…☆119Updated last year
- Cold Compress is a hackable, lightweight, and open-source toolkit for creating and benchmarking cache compression methods built on top of…☆148Updated last year
- ☆108Updated last year
- ☆71Updated last year
- ☆33Updated 2 years ago
- [ICLR‘24 Spotlight] Code for the paper "Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy"☆103Updated 7 months ago
- ☆222Updated 2 years ago