Tele-AI / TeleTronLinks
To pioneer training long-context multi-modal transformer models
☆68Updated 5 months ago
Alternatives and similar repositories for TeleTron
Users that are interested in TeleTron are comparing it to the libraries listed below
Sorting:
- A parallelism VAE avoids OOM for high resolution image generation☆85Updated 5 months ago
- Code for Draft Attention☆99Updated 8 months ago
- ☆191Updated last year
- High performance inference engine for diffusion models☆103Updated 4 months ago
- SLA: Beyond Sparsity in Diffusion Transformers via Fine-Tunable Sparse–Linear Attention☆258Updated last week
- This is the official PyTorch implementation of "BLADE: Block-Sparse Attention Meets Step Distillation for Efficient Video Generation."☆38Updated 3 months ago
- FORA introduces simple yet effective caching mechanism in Diffusion Transformer Architecture for faster inference sampling.☆52Updated last year
- Official implementation of paper "VMoBA: Mixture-of-Block Attention for Video Diffusion Models"☆60Updated 6 months ago
- Code for our ICCV 2025 paper "Adaptive Caching for Faster Video Generation with Diffusion Transformers"☆164Updated last year
- Aiming to integrate most existing feature caching-based diffusion acceleration schemes into a unified framework.☆82Updated 3 months ago
- mllm-npu: training multimodal large language models on Ascend NPUs☆95Updated last year
- A sparse attention kernel supporting mix sparse patterns☆442Updated last week
- [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching☆116Updated last year
- FastCache: Fast Caching for Diffusion Transformer Through Learnable Linear Approximation [Efficient ML Model]☆46Updated last month
- A curated list of recent papers on efficient video attention for video diffusion models, including sparsification, quantization, and cach…☆53Updated 3 months ago
- flex-block-attn: an efficient block sparse attention computation library☆107Updated last month
- A Distributed Attention Towards Linear Scalability for Ultra-Long Context, Heterogeneous Data Training☆622Updated this week
- A light-weight and high-efficient training framework for accelerating diffusion tasks.☆51Updated last year
- [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation☆146Updated 10 months ago
- The official implementation of "Sparse-vDiT: Unleashing the Power of Sparse Attention to Accelerate Video Diffusion Transformers" (arXiv …☆50Updated 7 months ago
- Patch convolution to avoid large GPU memory usage of Conv2D☆95Updated last year
- ☆220Updated 2 months ago
- Distributed parallel 3D-Causal-VAE for efficient training and inference☆45Updated 5 months ago
- [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization☆49Updated last year
- An auxiliary project analysis of the characteristics of KV in DiT Attention.☆32Updated last year
- Official PyTorch implementation of the paper "dLLM-Cache: Accelerating Diffusion Large Language Models with Adaptive Caching" (dLLM-Cache…☆197Updated 2 months ago
- Inferix: A Block-Diffusion based Next-Generation Inference Engine for World Simulation☆106Updated last month
- [NeurIPS 2024] The official implementation of ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification☆32Updated 9 months ago
- Fast and memory-efficient exact kmeans☆136Updated 2 months ago
- An industrial extension library of pytorch to accelerate large scale model training☆58Updated 5 months ago