lvyufeng / easy_mindspore_bkLinks
☆18Updated 3 years ago
Alternatives and similar repositories for easy_mindspore_bk
Users that are interested in easy_mindspore_bk are comparing it to the libraries listed below
Sorting:
- [KDD'22] Learned Token Pruning for Transformers☆100Updated 2 years ago
- [AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models☆62Updated last year
- [ACL 2024] Official PyTorch implementation of "IntactKV: Improving Large Language Model Quantization by Keeping Pivot Tokens Intact"☆48Updated last year
- ☆13Updated 2 years ago
- [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…☆39Updated last year
- The pure and clear PyTorch Distributed Training Framework.☆274Updated last year
- A Tight-fisted Optimizer☆50Updated 2 years ago
- [EVA ICLR'23; LARA ICML'22] Efficient attention mechanisms via control variates, random features, and importance sampling☆87Updated 2 years ago
- ☆12Updated 2 years ago
- Lion and Adam optimization comparison☆64Updated 2 years ago
- [ACL 2022] Structured Pruning Learns Compact and Accurate Models https://arxiv.org/abs/2204.00408☆197Updated 2 years ago
- [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"☆34Updated last year
- qwen-nsa☆83Updated 2 weeks ago
- [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…☆30Updated last year
- The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer L…☆48Updated 3 years ago
- Unveiling Super Experts in Mixture-of-Experts Large Language Models☆29Updated last month
- Efficient Mixture of Experts for LLM Paper List☆142Updated last month
- (Unofficial) PyTorch implementation of grouped-query attention (GQA) from "GQA: Training Generalized Multi-Query Transformer Models from …☆181Updated last year
- [ICLR 2022] "Unified Vision Transformer Compression" by Shixing Yu*, Tianlong Chen*, Jiayi Shen, Huan Yuan, Jianchao Tan, Sen Yang, Ji Li…☆53Updated last year
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆47Updated 2 years ago
- [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…☆67Updated last year
- The official implementation of the ICML 2023 paper OFQ-ViT☆32Updated 2 years ago
- Training LLaMA language model with MMEngine! It supports LoRA fine-tuning!☆41Updated 2 years ago
- An object detection codebase based on MegEngine.☆28Updated 2 years ago
- ☆25Updated 7 months ago
- [ICML 2022] "DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks", by Yonggan …☆72Updated 3 years ago
- Models and examples built with OneFlow☆100Updated last year
- IntLLaMA: A fast and light quantization solution for LLaMA☆18Updated 2 years ago
- ☆37Updated 3 years ago
- 基于Gated Attention Unit的Transformer模型(尝鲜版)☆98Updated 2 years ago