DeepScaleR

DeepScaleR

Agentica Project
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+

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About

DeepScaleR is a 1.5-billion-parameter language model fine-tuned from DeepSeek-R1-Distilled-Qwen-1.5B using distributed reinforcement learning and a novel iterative context-lengthening strategy that gradually increases its context window from 8K to 24K tokens during training. It was trained on ~40,000 carefully curated mathematical problems drawn from competition-level datasets like AIME (1984–2023), AMC (pre-2023), Omni-MATH, and STILL. DeepScaleR achieves 43.1% accuracy on AIME 2024, a roughly 14.3 percentage point boost over the base model, and surpasses the performance of the proprietary O1-Preview model despite its much smaller size. It also posts strong results on a suite of math benchmarks (e.g., MATH-500, AMC 2023, Minerva Math, OlympiadBench), demonstrating that small, efficient models tuned with RL can match or exceed larger baselines on reasoning tasks.

About

MathML Kit provides a native placement of MathML files without any extra conversions. It supports importing math equations to Adobe InDesign CC Server, Adobe InDesign and Adobe InCopy in the MathML format. While major browsers support such format, when it comes to printing — MathML equations should be rather converted into a vector (EPS or PDF) or raster formats. The result of such formatting is that images are losing quality and are no longer maintainable. Our solution provides you with an ability to place MathML formulas into the InDesign documents manually or in an automated way and get excellent HQ print output. We support the following Adobe products: Adobe InDesign support, CS6 - CC2018. Adobe InDesign Server support, CS6 - CC2018. Adobe InCopy support, CS6- CC2018. MathML 2.0 presentation extended support. MathML 2.0 content basic support. MathML 3.0 basic support. The solution is not aimed at editing but is mostly for high-quality printing. Customization by request.

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Not Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Researchers, students, and developers interested in an AI model capable of mathematical reasoning and logic tasks without requiring heavy hardware

Audience

Designers, Publishers

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Not Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version Supported
Free Trial Not Supported

Pricing

$199 one-time payment per user
Free Version Not Supported
Free Trial Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Not Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Agentica Project
Founded: 2025
United States
agentica-project.com

Company Information

Scand
Belarus
scand.com/products/mathml-kit/

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Categories

AI Models Supported

Categories

Graphic Design Supported

Integrations

Adobe Creative Cloud Not Supported
Adobe InDesign Not Supported
BlueGriffon Not Supported
MathJax Not Supported
WordPad Not Supported
pdfChip Not Supported

Integrations

Adobe Creative Cloud Supported
Adobe InDesign Supported
BlueGriffon Supported
MathJax Supported
WordPad Supported
pdfChip Supported
Claim DeepScaleR and update features and information
Claim DeepScaleR and update features and information
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Claim MathML Kit and update features and information