🧠 AxionLab

Research-driven AI. Fast, smart, and brutally honest.

AxionLab is an independent lab focused on efficient language models, explicit reasoning, and lean architectures that actually run in the real world.

Less marketing. More gradient descent. 📉✨

🚀 What we do

We create and train AI models with three clear obsessions:

Efficiency: small, fast, and affordable models

Reasoning: think better > speak more

Real code: no fragile demos that break outside the laptop

If it doesn't run on common hardware, we question it. If it doesn't reason, we redo it. 🧪⚙️

🧩 Model Lines

Axion Series; our core family of models

MiniText → ultra-fast, minimal cost

MiniGPT → balance between performance and lightness

DogeAI-v1.5-Coder → total focus on small programming

DogeAI-v2.0-4B-Reasoning(SOON) → reasoning, logic, and step-by-step thinking

All focused on open research and incremental learning.

🧪 AxionLab Philosophy

Models aren't magic — they're trainable systems

Bigger isn't always better

Explicit reasoning matters

Open-source accelerates science

Benchmarks are guides, not gods

AI gets better when we question assumptions, including our own. 🧠💥

📦 What you'll find here

LLM models trained from scratch or fine-tuned

Experimental checkpoints

Ongoing research

Proprietary tokenizers

Strange ideas (some brilliant, some not so much, it's part of the process 😅)

🌍 Vision

To build truly accessible, auditable, and intelligent AI, not just impressive loss graphs.

AxionLab isn't about hype.

It's about understanding how to think better with machines.

📫 Contact / Collaborations Pull requests, issues, and crazy ideas are welcome.

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