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beyond-scaling-paper
hayulalab/beyond-scaling-paper
beyond-scaling-paper is a machine learning model from hayulalab. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
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Updated Jul 8, 2026
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- License
- mit
- Access
- Public
- Created
- Jul 8, 2026
- Updated
- Jul 8, 2026
- SHA
- ea98013e
Model card
From the Hugging Face model README
Beyond Scaling: Achieving Frontier-Level AI Through Specialist Orchestration — Hayula Research
Hayula AI Lab
Abstract
The frontier of artificial intelligence is currently defined by massive monolithic models: GPT-5, Claude Opus 4, Gemini 2.5 Pro, DeepSeek-R1, Grok 3, Llama 4. These models cost $500M–$2B to train and require massive GPU clusters. This paper presents a viable alternative pathway: achieving comparable capability through the orchestrated ensemble of fine-tuned small specialist models (7-8B parameters) on consumer-grade hardware (Apple M2 Ultra, $7K).
Files
| File | Description |
|---|---|
paper.md | Full paper (Markdown) |
README.md | This model card |
Citation
@techreport{hayulalab2026beyondscaling,
title={Beyond Scaling: Achieving Frontier-Level AI Through Specialist Orchestration — Hayula Research},
author={Hayula AI Lab},
year={2026},
url={https://huggingface.co/hayulalab/beyond-scaling-paper}
}
hayulalab — Open Source AI Research
- License
- mit
- Created
- Jul 8, 2026
- Updated
- Jul 8, 2026