DeepScaleR

DeepScaleR

Agentica Project
Open R1

Open R1

Open R1
DeepScaleR Open R1

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DeepScaleR:

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.
Open R1:

About

Open R1 is a community-driven, open-source initiative aimed at replicating the advanced AI capabilities of DeepSeek-R1 through transparent methodologies. You can try Open R1 AI model or DeepSeek R1 free online chat on Open R1. The project offers a comprehensive implementation of DeepSeek-R1's reasoning-optimized training pipeline, including tools for GRPO training, SFT fine-tuning, and synthetic data generation, all under the MIT license. While the original training data remains proprietary, Open R1 provides the complete toolchain for users to develop and fine-tune their own models.
DeepScaleR:

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
Open R1:

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
DeepScaleR:

Audience

Researchers, students, and developers interested in an AI model capable of mathematical reasoning and logic tasks without requiring heavy hardware
Open R1:

Audience

Developers, teams, researchers, general users
DeepScaleR:

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported
Open R1:

Support

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

API

Offers API Not Supported
Open R1:

API

Offers API Not Supported
DeepScaleR:

Screenshots and Videos

Open R1:

Screenshots and Videos

No images available
DeepScaleR:

Pricing

Free
Free Version Supported
Free Trial Not Supported
Open R1:

Pricing

Free
Open source
Free Version Supported
Free Trial Not Supported
DeepScaleR:

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
Open R1:

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
DeepScaleR:

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported
Open R1:

Training

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

Company Information

Agentica Project
Founded: 2025
United States
agentica-project.com
Open R1:

Company Information

Open R1
Founded: 2025
United Kingdom
open-r1.com
DeepScaleR:

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DeepScaleR:

Categories

AI Models Supported
Open R1:

Categories

AI Models Supported
DeepScaleR:

Integrations

No info available.
Open R1:

Integrations

No info available.
DeepScaleR:
Claim DeepScaleR and update features and information
Claim DeepScaleR and update features and information
Open R1:
Claim Open R1 and update features and information
Claim Open R1 and update features and information