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Model Library
/Fireworks/Rolm OCR
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Rolm OCR

Ready
model path:accounts/fireworks/models/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.

Rolm OCR API Features

On-demand Deployment

Docs

On-demand deployments allow you to use Rolm OCR on dedicated GPUs with Fireworks' high-performance serving stack with high reliability and no rate limits.

Metadata

State
Ready
Created on
6/9/2025
Kind
Base model
Provider
Fireworks

Specification

Calibrated
No
Mixture-of-Experts
No
Parameters
8.29B

Supported Functionality

Fine-tuning
Not supported
Serverless
Not supported
Context Length
128k tokens
Function Calling
Not supported
Embeddings
Not supported
Rerankers
Not supported
Support image input
Supported