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README.md
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π§ AxionLab
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Research-driven AI. Fast, smart, and brutally honest
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AxionLab is an independent lab focused on efficient language models, explicit reasoning, and lean architectures that actually run in the real world.
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Less marketing. More gradient descent. πβ¨
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π What we do
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We create and train AI models with three clear obsessions:
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Efficiency
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Reasoning
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Real code
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If it doesn't run on common hardware, we question it. If it doesn't reason, we redo it. π§ͺβοΈ
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π§© Model Lines
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Axion Series
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All focused on open research and incremental learning.
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π§ͺ AxionLab Philosophy
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Models aren't magic β they're trainable systems
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AI gets better when we question assumptions, including our own. π§ π₯
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π¦ What you'll find here
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LLM models trained from scratch or fine-tuned
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Proprietary tokenizers
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Strange ideas (some brilliant, some not so much
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π Vision
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To build truly accessible, auditable, and intelligent AI, not just impressive loss graphs.
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AxionLab isn't about hype.
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It's about understanding how to think better with machines.
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π« Contact / Collaborations Pull requests, issues, and crazy ideas are welcome
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Edit this `README.md` markdown file to author your organization card.
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pinned: false
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---
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π§ **AxionLab**
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*Research-driven AI. Fast, smart, and brutally honest.*
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AxionLab is an independent lab focused on efficient language models, explicit reasoning, and lean architectures that actually run in the real world.
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*Less* marketing. *More* gradient descent. πβ¨
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π **What we do**
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We create and train AI models with three clear obsessions:
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Efficiency: small, fast, and affordable models
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Reasoning: *think better > speak more*
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Real code: no fragile demos that break outside the laptop
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If it doesn't run on common hardware, we question it. If it doesn't reason, we redo it. π§ͺβοΈ
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π§© **Model Lines**
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Axion Series; our core family of models
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MiniText β ultra-fast, minimal cost
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MiniGPT β balance between performance and lightness
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DogeAI-v1.5-Coder β total focus on small programming
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DogeAI-v2.0-4B-Reasoning(SOON) β *reasoning, logic, and step-by-step thinking*
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All focused on open research and incremental learning.
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π§ͺ **AxionLab Philosophy**
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Models aren't magic β they're trainable systems
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AI gets better when we question assumptions, including our own. π§ π₯
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+
π¦ **What you'll find here**
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LLM models trained from scratch or fine-tuned
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Proprietary tokenizers
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Strange ideas (some brilliant, some not so much, it's part of the process π
)
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π **Vision**
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To build truly accessible, auditable, and intelligent AI, not just impressive loss graphs.
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+
AxionLab *isn't* about hype.
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It's about understanding how to think better with machines.
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π« **Contact / Collaborations Pull requests, issues, and crazy ideas are welcome.**
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Edit this `README.md` markdown file to author your organization card.
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