Model overview
AWQ 4-bit (W4A16) quantization of **baidu/Unlimited-OCR**, a 3B vision-language OCR model that pushes **DeepSeek-OCR** one step further (one-shot, long-horizon document parsing). This repo quantizes the **DeepSeek-V2 MoE text decoder** with activation-aware scaling (AWQ) while keeping the vision tower in BF16, so it stays a drop-in `transformers` model. > ⚠️ **Runtime requirements.** This is custom remote code, so load with > **`trust_remote_code=True`**, **`transformers` 4.57.x**, and **`compressed-tensors`** installed. > W4A16 (int4) runs on any CUDA GPU; `compressed-tensors` handles the 4-bit unpacking at load. Unlimited-OCR uses the **DeepSeek-OCR** prompt vocabulary. The prompt **must contain ` `**; prefix it with ` ` whenever you also want **bounding boxes** for what was read.
Key features
特点摘要待依据来源补齐，不凭模型名称推断能力。
Limitations & considerations
Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.
Source prices & cost analysis
Prices vary by channel, region and configuration. Channel quotes are listed independently and are not treated as a single official provider price.
| Source / channel | Input | Output | Billing unit | Collected at |
|---|---|---|---|---|
| No verified prices yet. Check the source channel. | ||||
Estimate monthly base token costs
Estimates exclude cache discounts, tiered pricing, multimodal surcharges, web search, taxes and additional reasoning output.
Public benchmarks & run configuration
暂无已采集的可核验公开评分。模型未上榜不代表能力较低。
View full indexed rankings →Frequently asked questions
Do open weights permit free commercial use?
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Are these real-time billing prices?
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Sources & traceability
许可证：mit。模型介绍与第三方评测均以原来源的具体版本和方法为准。