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Rolm OCR

RolmOCR is an open-source document OCR model developed by Reducto AI as a drop-in alternative to olmOCR that delivers faster performance with reduced memory usage. Built on Qwen2.5-VL-7B-Instruct and fine-tuned on the full olmOCR-mix dataset, this model excels at extracting plain text from complex documents including PDFs, images, and various document formats. RolmOCR features streamlined processing by eliminating metadata inputs, enhanced robustness through rotated training data, and maintains high accuracy while significantly reducing processing time and VRAM requirements compared to its predecessors.

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Fireworks Features

Fine-tuning

Rolm OCR can be customized with your data to improve responses. Fireworks uses LoRA to efficiently train and deploy your personalized model

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On-demand Deployment

On-demand deployments give you dedicated GPUs for Rolm OCR using Fireworks' reliable, high-performance system with no rate limits.

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Info

Provider

Fireworks AI

Model Type

LLM

Context Length

128000

Fine-Tuning

Available

Pricing Per 1M Tokens

$0.2