AI BriefingSenseNova-U1 Model and Training Code Released
Key point
SenseNova-U1 model weights and InternEvo-based training code have been open-sourced.
Details
OpenSenseNova has released the weights and training code for the SenseNova-U1 model. This release includes not only the model weights but also training code and a sample dataset under the Apache-2.0 license, offering higher transparency than a simple weights-only release.
Key releases:
- Model weights: 8B MoT and A3B MoT variant models (MIT license)
- Training code: Based on the InternEvo framework, supporting 5 tasks including text-to-image generation, image editing, and multimodal understanding
- Technical specifications: FlexAttention block mask, ISP parallelization, FSDP weight sharding, ZeRO-1 flow-matching schedule applied
- Training requirements: 1 node of 8 H800 (80GB) GPUs for the 8B model, 2 nodes required for the A3B MoE model
The full training dataset is managed internally and is not fully open-sourced, but detailed shell launchers and configuration values for setting up the training environment are provided.
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