Alternatives and similar repositories for mllm-npu:

Users that are interested in mllm-npu are comparing it to the libraries listed below

• thu-nics / DiTFastAttn
  ☆153Updated 2 months ago
• AdaCache-DiT / AdaCache
  Adaptive Caching for Faster Video Generation with Diffusion Transformers
  ☆142Updated 4 months ago
• xdit-project / DistVAE
  A parallelism VAE avoids OOM for high resolution image generation
  ☆57Updated 2 months ago
• horseee / learning-to-cache
  [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching
  ☆98Updated 8 months ago
• svg-project / Sparse-VideoGen
  ☆130Updated this week
• mit-han-lab / vila-u
  [ICLR 2025] VILA-U: a Unified Foundation Model Integrating Visual Understanding and Generation
  ☆249Updated 2 months ago
• RUCAIBox / Virgo
  Official code of *Virgo: A Preliminary Exploration on Reproducing o1-like MLLM*
  ☆96Updated last month
• NVlabs / COAT
  [ICLR 2025] COAT: Compressing Optimizer States and Activation for Memory-Efficient FP8 Training
  ☆168Updated last month
• ZhangAIPI / YOPO_MLLM_Pruning
  Pruning the VLLMs
  ☆89Updated 3 months ago
• mit-han-lab / x-attention
  XAttention: Block Sparse Attention with Antidiagonal Scoring
  ☆102Updated this week
• Vchitect / LiteGen
  A light-weight and high-efficient training framework for accelerating diffusion tasks.
  ☆46Updated 6 months ago
• xuyang-liu16 / Awesome-Generation-Acceleration
  📚 Collection of awesome generation acceleration resources.
  ☆179Updated 2 weeks ago
• ZhangXJ199 / TinyLLaVA-Video
  A Simple Framework of Small-scale Large Multimodal Models for Video Understanding Based on TinyLLaVA_Factory.
  ☆46Updated last week
• VainF / TinyFusion
  [CVPR 2025] TinyFusion: Diffusion Transformers Learned Shallow
  ☆87Updated 3 months ago
• microsoft / RAS
  An open-source implementation of Regional Adaptive Sampling (RAS), a novel diffusion model sampling strategy that introduces regional var…
  ☆119Updated last month
• OpenGVLab / MM-Interleaved
  MM-Interleaved: Interleaved Image-Text Generative Modeling via Multi-modal Feature Synchronizer
  ☆220Updated 11 months ago
• shufangxun / LLaVA-MoD
  [ICLR 2025] LLaVA-MoD: Making LLaVA Tiny via MoE-Knowledge Distillation
  ☆116Updated 2 months ago
• JT-Ushio / MHA2MLA
  Towards Economical Inference: Enabling DeepSeek's Multi-Head Latent Attention in Any Transformer-based LLMs
  ☆145Updated this week
• mit-han-lab / Block-Sparse-Attention
  A sparse attention kernel supporting mix sparse patterns
  ☆168Updated last month
• xlite-dev / Awesome-Diffusion-Inference
  📖A curated list of Awesome Diffusion Inference Papers with codes: Sampling, Caching, Multi-GPUs, etc. 🎉🎉
  ☆199Updated this week
• SparksJoe / Prism
  A Framework for Decoupling and Assessing the Capabilities of VLMs
  ☆41Updated 9 months ago
• Roblox / SmoothCache
  Implementation of SmoothCache, a project aimed at speeding-up Diffusion Transformer (DiT) based GenAI models with error-guided caching.
  ☆41Updated this week
• mit-han-lab / patch_conv
  Patch convolution to avoid large GPU memory usage of Conv2D
  ☆84Updated 2 months ago
• xdit-project / DiTCacheAnalysis
  An auxiliary project analysis of the characteristics of KV in DiT Attention.
  ☆28Updated 3 months ago
• alibaba / conv-llava
  ☆111Updated 7 months ago
• Juanerx / Q-DiT
  [CVPR 2025] Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers
  ☆43Updated 6 months ago
• invictus717 / MiCo
  Explore the Limits of Omni-modal Pretraining at Scale
  ☆97Updated 6 months ago
• prathebaselva / FORA
  FORA introduces simple yet effective caching mechanism in Diffusion Transformer Architecture for faster inference sampling.
  ☆41Updated 8 months ago
• JinXins / Awesome-Token-Merge-for-MLLMs
  A paper list about Token Merge, Reduce, Resample, Drop for MLLMs.
  ☆44Updated 2 months ago
• KangarooGroup / Kangaroo
  official impelmentation of Kangaroo: A Powerful Video-Language Model Supporting Long-context Video Input
  ☆63Updated 6 months ago