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bernini-mnist
ruwwww/bernini-mnist
bernini-mnist is a machine learning model from ruwwww. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
Pretrained model checkpoints for Bernini-MNIST, a toy reproduction of ByteDance's Bernini architecture (Latent Semantic Planning via Multimodal LLMs).
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Public
Updated Aug 15, 2026
Repo size
91.6 MB
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.pt91.6 MB · 100%
At a glance
- License
- mit
- Access
- Public
- Created
- Aug 15, 2026
- Updated
- Aug 15, 2026
- SHA
- 7a30bb38
Datasets
Model card
From the Hugging Face model README
Bernini-MNIST: Latent Semantic Planning for Continuous Flow Diffusion
Pretrained model checkpoints for Bernini-MNIST, a toy reproduction of ByteDance's Bernini architecture (Latent Semantic Planning via Multimodal LLMs).
GitHub Repository: https://github.com/ruwwww/bernini-mnist
Visual Results
Checkpoint Manifest
| File | Size | Description |
|---|---|---|
checkpoints/vit_mnist.pt | ~13 MB | 16-patch Vision Transformer Oracle (98.48% classification accuracy) |
checkpoints/planner_qwen.pt | ~29 MB | Stage 1 Semantic Planner (Qwen3-0.6B + MaskGIT + AdaLN Flow Matching Head) |
checkpoints/renderer_semantic.pt | ~6.5 MB | Stage 2 2D Spatial ConvFlow Renderer (Smooth Bilinear Continuous Upsampling) |
checkpoints/joint_pipeline.pt | ~41 MB | Stage 3 Jointly fine-tuned end-to-end weights |
Quantitative Benchmarks
- Classification Accuracy: 100.00% on 300 test digits under held-out ViT Oracle.
- Reconstruction Fidelity: 100.00% validation accuracy from real continuous tokens.
- License
- mit
- Languages
- en
- Created
- Aug 15, 2026
- Updated
- Aug 15, 2026