Unlimited-OCR
- [2026/07/21] 🤝 Thanks to the ms-swift community for their support, our model now supports training with ms-swift. - [2026/07/03] 🤝 Thanks to the Baidu Cloud team for their support. Our model is now available on Baidu Cloud. - [2026/06/28] 🤝 Thanks to the vLLM community and Tianyu Guo for their support, our model now supports vLLM inference. - [2026/06/24] 🤝 Thanks to AK for creating a demo for us. It is now ava...
Params
3.3 B
Context
32,768
Downloads 30d
2.2 M
Likes
4,269
Download history
daily snapshots · 55 days
▲ 1.1 M in the last 30 days (32.9%)
3.3 M2.2 M
Aug 22Sep 1Sep 11Sep 20
3.3 M2.2 M
Jul 28Aug 15Sep 2Sep 20
Can you run it?
Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.
| File | Quant | Size | Est. VRAM | Verdict on RTX 4090 · 24 GB |
|---|---|---|---|---|
| model.safetensors | bf16 | 6.7 GB | 8.3 GB | ✅ Runs comfortably |
| model.safetensors (bf16, full) | bf16 + 32K ctx | 6.7 GB | 9.8 GB | ✅ Runs comfortably |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Specifications
- Architecture
- UnlimitedOCRForCausalLM
- Parameters
- 3.3 B
- Tensor type
- BF16
- Context length
- 32,768
- Vocabulary
- 129,280
- Layers / heads
- 12 / 10
- Licence
- mit
- First seen on the Hub
- 2026-06-19
- Training datasets
- undisclosed
- Added to our catalog
- 2026-07-28
Family
Base model and the most-downloaded derivatives in the catalog.
Compare with any image-text-to-text model