metadata
license: apache-2.0
tags:
- vision
- ocr
- compression
- autoencoding
Bad Autoencoding - Model Checkpoints
Checkpoints for the paper: "Optical Context Compression Is Just (Bad) Autoencoding"
Ivan Lee, Cheng Yang, Taylor Berg-Kirkpatrick
Links
Available Checkpoints
| Checkpoint | Objective | Hybrid | Training | PPL |
|---|---|---|---|---|
vision_base_h0_recon |
Reconstruction | 0 | - | 1.03 |
vision_base_h0_lm |
LM | 0 | Direct | 5.08 |
vision_base_h0_lm_recon-init |
LM | 0 | From reconstruction | 5.06 |
Naming Convention
{regime}_{config}_h{N}_{objective}[_recon-init]
| Field | Values | Description |
|---|---|---|
| regime | vision, conv1d, meanpool, text | Compression architecture |
| config | base/small/tiny/large, t500/t250, w10s10, ctx525 | Regime-specific config |
| h{N} | h0, h100 | Hybrid text tokens (0 = pure vision) |
| objective | recon, lm | Training objective |
| recon-init | (optional) | LM initialized from reconstruction checkpoint |
Model Details
- Architecture: DeepSeek-OCR with trainable vision encoder
- Image Size: 768x768 (base)
- Encoder Status: Trained (not frozen)
- Dataset: 510k samples from FineWiki
Usage
from huggingface_hub import hf_hub_download
# Download a specific checkpoint
checkpoint_path = hf_hub_download(
repo_id="ivnle/bad-autoencoding",
filename="vision_base_h0_lm/model.pt",
repo_type="model"
)
Citation
@article{lee2024optical,
title={Optical Context Compression Is Just (Bad) Autoencoding},
author={Lee, Ivan and Yang, Cheng and Berg-Kirkpatrick, Taylor},
journal={arXiv preprint arXiv:2512.03643},
year={2024}
}