ZhuiyiTechnology / roformerLinks
Rotary Transformer
☆1,057Updated 3 years ago
Alternatives and similar repositories for roformer
Users that are interested in roformer are comparing it to the libraries listed below
Sorting:
- RoFormer V1 & V2 pytorch☆515Updated 3 years ago
- A fast MoE impl for PyTorch☆1,820Updated 9 months ago
- SwissArmyTransformer is a flexible and powerful library to develop your own Transformer variants.☆1,100Updated 11 months ago
- Implementation of the Transformer variant proposed in "Transformer Quality in Linear Time"☆371Updated 2 years ago
- PyTorch Re-Implementation of "The Sparsely-Gated Mixture-of-Experts Layer" by Noam Shazeer et al. https://arxiv.org/abs/1701.06538☆1,207Updated last year
- A Pytorch implementation of Sparsely-Gated Mixture of Experts, for massively increasing the parameter count of language models☆834Updated 2 years ago
- ☆882Updated last year
- Implementation of Rotary Embeddings, from the Roformer paper, in Pytorch☆780Updated 4 months ago
- Code for the ALiBi method for transformer language models (ICLR 2022)☆546Updated 2 years ago
- A plug-and-play library for parameter-efficient-tuning (Delta Tuning)☆1,037Updated last year
- Diffusion-LM☆1,205Updated last year
- A novel method to tune language models. Codes and datasets for paper ``GPT understands, too''.☆938Updated 3 years ago
- Transformer based on a variant of attention that is linear complexity in respect to sequence length☆815Updated last year
- Rectified Rotary Position Embeddings☆384Updated last year
- real Transformer TeraFLOPS on various GPUs☆915Updated last year
- Tutel MoE: Optimized Mixture-of-Experts Library, Support GptOss/DeepSeek/Kimi-K2/Qwen3 using FP8/NVFP4/MXFP4☆943Updated 3 weeks ago
- 整理 pytorch 单机多 GPU 训练方法与原理☆852Updated 4 years ago
- A curated reading list of research in Mixture-of-Experts(MoE).☆651Updated last year
- Ongoing research training transformer language models at scale, including: BERT & GPT-2☆1,426Updated last year
- Implementation of paper "Towards a Unified View of Parameter-Efficient Transfer Learning" (ICLR 2022)☆541Updated 3 years ago
- 更纯粹、更高压缩率的Tokenizer☆486Updated last year
- ☆689Updated 3 weeks ago
- Best practice for training LLaMA models in Megatron-LM☆661Updated last year
- Efficient Training (including pre-training and fine-tuning) for Big Models☆613Updated last month
- Ongoing research training transformer language models at scale, including: BERT & GPT-2☆2,197Updated 3 months ago
- an implementation of transformer, bert, gpt, and diffusion models for learning purposes☆159Updated last year
- pytorch单精度、半精度、混合精度、单卡、多卡(DP / DDP)、FSDP、DeepSpeed模型训练代码,并对比不同方法的训练速度以及GPU内存的使用☆127Updated last year
- An implementation of local windowed attention for language modeling☆488Updated 4 months ago
- Prefix-Tuning: Optimizing Continuous Prompts for Generation☆955Updated last year
- Pytorch library for fast transformer implementations☆1,753Updated 2 years ago