dots.ocr
dots.ocr: Multilingual Document Layout Parsing in a Single Vision-Language Model
Params
3.0 B
Context
131,072
Downloads 30d
831 K
Likes
1,331
Download history
tracking started — chart appears after 7 days of snapshots (1 recorded)831 K downloads in the last 30 days
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 | 6.1 GB | 7.6 GB | ✅ Runs comfortably |
| model.safetensors (bf16, full) | bf16 + 128K ctx | 6.1 GB | 14.5 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
- DotsOCRForCausalLM
- Parameters
- 3.0 B
- Tensor type
- BF16
- Context length
- 131,072
- Vocabulary
- 151,936
- Layers / heads
- 28 / 12
- Licence
- mit
- First seen on the Hub
- 2025-07-30
- Training datasets
- undisclosed
- Added to our catalog
- 2026-09-21
Compare with any image-text-to-text model