Fathom-R1-14B: Affordable Math Reasoning Model | 14th Aug 2025 episode artwork

EPISODE · Aug 14, 2025 · 16 MIN

Fathom-R1-14B: Affordable Math Reasoning Model | 14th Aug 2025

from Colaberry AI Podcast · host IndiaAi

Send us Fan MailHow an Open-Source Breakthrough Brings Olympiad-Level Math AI to EveryoneIn this episode of the Colaberry AI Podcast, we spotlight Fathom-R1-14B, a powerful open-source large language model from Mumbai-based AI company Fractal. With 14 billion parameters, this model is designed to excel at mathematical reasoning and delivers performance comparable to closed-source o4-mini models—at a fraction of the cost.Trained on Deepseek-R1-Distilled-Qwen-14B and released under the MIT license, Fathom-R1-14B comes with its training recipes and datasets fully open-sourced, fostering collaboration and community-driven progress. Its standout ability to solve olympiad-level problems like AIME-25 and HMMT-25 makes it a major step forward for accessible, high-level AI reasoning.🎯 Key Takeaways: ⚡ 14B-parameter model specialized in mathematical reasoning 📘 Achieves olympiad-level accuracy (AIME-25, HMMT-25) 💸 Post-training cost: only $499 🔓 Open-source release under MIT license 🤝 Includes full datasets and training recipes for community use🧾 Ref: Fractal Releases Fathom-R1-14B Reasoning Model🎧 Listen to our audio podcast: 👉 Colaberry AI PodcastStay Connected for Daily AI Breakdowns: LinkedIn YouTube Twitter/XContact Us: [email protected] (972) 992-1024Disclaimer: This episode is created for educational purposes only. All rights to referenced materials belong to their respective owners. If you believe any content may be incorrect or violates copyright, kindly contact us at [email protected], and we will address it promptly.Check Out Website: www.colaberry.ai 

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Send us Fan Mail How an Open-Source Breakthrough Brings Olympiad-Level Math AI to Everyone In this episode of the Colaberry AI Podcast, we spotlight Fathom-R1-14B, a powerful open-source large language model from Mumbai-based AI company Fractal. With 14 billion parameters, this model is designed to excel at mathematical reasoning and delivers performance comparable to closed-source o4-mini models—at a fraction of the cost. Trained on Deepseek-R1-Distilled-Qwen-14B and released under the MIT l...

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Fathom-R1-14B: Affordable Math Reasoning Model | 14th Aug 2025

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