Model reference · open weights
Unlimited-OCR is an open-weight language model from baidu, listed in the AxForge catalogue. AxForge can bring it up on EU-owned hardware for you on request — with the licence handled where one is required.
About
Release - [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 available at Hugging Face Spaces. - [2026/06/23] 📄 Our paper is now available on arXiv. - [2026/06/23] 🤝 Thanks to the ModelScope community for their support. Our model is now available at ModelScope. - [2026/06/22] 🚀 We present Unlimited-OCR, aiming to push Deepseek-OCR one step further. Inference Transformers Inference using Huggingface transformers on NVIDIA GPUs. Requirements tested on python 3.12.3 + CUDA12.9： vLLM Please refer to the official vLLM recipe for deployment details: Recipe: https://recipes.vllm.ai/baidu/Unlimited-OCR Docker Images Use the following Docker images depending on your GPU platform: Default (CUDA 13.0): For Hopper GPUs (CUDA 12.9) SGLang Set up the environment (uv-managed virtualenv). Install the local SGLang wheel first, then pin kernels==0.9.0 and install PyMuPDF for PDF-to-image conversion: Start the SGLang server: Send streaming requests to the OpenAI-compatible API: For OmniDocBench evaluation, you need to perform the following post-processing. Visualization Acknowledgement We would like to thank Deepseek-OCR, Deepseek-OCR-2, PaddleOCR for their valuable models and ideas. Citation
Summarised from the published model card. Read the full card on the HuggingFace links below.
Specifications
| Maker | baidu |
|---|---|
| Type | Language models |
| Parameters (lead) | 3.3B |
| Context | 32k tokens |
| Variants | 1 |
| Runs with | transformers |
| Released | 2026-06-19 |
| Popularity | 3.1M downloads / month |
| Likes | 4,156 |
| Licence | Open weights |
How it works
Variants
Open weights ship in several sizes and precisions. One page, all the variants — pick the one that fits your GPU. VRAM figures are estimates from model size.
| Variant | Params | Precision | VRAM | Fits 16 GB | Weights |
|---|---|---|---|---|---|
| Unlimited-OCR | 3.3B | BF16 | ~7.7 GB | ✓ | Weights ↗ |
Using it via the API
Once AxForge deploys unlimited-ocr for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (unlimited-ocr below is illustrative; you get the exact model name on deployment.)
$ curl -sS https://api.axforge.ai/v1/chat/completions \
-H "Authorization: Bearer $AXFORGE_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"unlimited-ocr","messages":[{"role":"user","content":"Hello"}]}'
Licence
Open weights under mit — commercial use is permitted. Deploy it on AxForge EU hardware on request. Read the licence ↗