Arden-1.0-280M

ARDEN AI

A multilingual language model built from scratch — ES / EN / PT / FR

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The Arden project aims to pretrain a family of multilingual language models (Spanish, English, Portuguese, French) built entirely from scratch in PyTorch — no pretrained weights, no model forks. The current model, ARDEN 1.0 (280M parameters), is being pretrained on consumer hardware: a single NVIDIA GTX 1660 Super with 6GB of VRAM.

Yes, you read that right — 6GB. Arden is proof that you don't need a datacenter to start building language models.

Arden is developed and owned by Nex Bridge Solutions LLC (Arizona, USA).

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How to use

With Ollama

# Download and run directly
ollama run devdavwork/Arden-1.0-280M

With llama.cpp

./llama-completion -m arden-280m-f16.gguf \
    -p "Once upon a time, in a small village," \
    -n 100 --temp 0.7

With Python (llama-cpp-python)

from llama_cpp import Llama

llm = Llama(model_path="arden-280m-f16.gguf", n_ctx=512)
output = llm("Once upon a time, in a small village,", max_tokens=100)
print(output["choices"][0]["text"])

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News

• 2026-07: Arden 1.0 (280M) — First public GGUF release. ByteLevel BPE tokenizer, 57k training steps on 23GB proprietary corpus. Available on Hugging Face and Ollama.
• 2026-06: Migrated training from CPU to GPU (GTX 1660 Super). Full corpus processed — 23GB across 50 shards.
• 2026-06: Initial release of the Arden architecture, tokenizer, data pipeline and training loop. Licensed under the Arden Community License v1.0.

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Releases Schedule

Base models:

Specialized models:

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Training Details

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Project Structure

arden/
├── core/
│   ├── attention.py      # Multi-head self-attention
│   ├── config.py         # Master configuration
│   ├── model.py          # ArdenModel — decoder-only Transformer
│   └── tokenizer.py      # ByteLevel BPE tokenizer
├── data/
│   └── preprocessor.py   # Tokenization & train/val/test splits
├── tools/
│   └── arden_to_gguf.py  # PyTorch → GGUF converter
├── train.py              # Training loop
└── LICENSE               # Arden Community License v1.0

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Potential Use Cases

• Local, private text generation in Spanish and English — no internet connection required.
• Deployment on modest hardware — runs entirely on CPU via llama.cpp.
• A reference codebase for anyone who wants to pretrain a language model from scratch in pure PyTorch.
• A foundation for Latin American AI — Arden treats Spanish as a first-class language.

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Limitations

This is an early-stage base language model trained on 57k steps. It:

• Does not follow instructions (it is a text completion model, not a chat model)
• May produce incoherent or repetitive text
• Is not aligned or fine-tuned for safety
• Is intended for research and experimentation

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License

Arden is released under the Arden Community License v1.0:

• ✅ Free for personal use, research, and education
• ✅ Free for internal evaluation
• ❌ Hosting Arden as a service requires a commercial agreement
• ❌ Embedding Arden in commercial products requires a commercial agreement

For commercial licensing: [email protected]

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About

Arden is created and owned by Nex Bridge Solutions LLC (Arizona, USA).

• 🌐 nexbridgesolutions.com
• 📧 [email protected]
• 🐙 GitHub

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Citation

@misc{arriaga2026arden,
  title  = {Arden: A Multilingual Language Model Built From Scratch on Consumer Hardware},
  author = {Nex Bridge Solutions LLC},
  year   = {2026},
  url    = {https://github.com/nexbridgesolutions/Arden}
}

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Copyright 2026 Nex Bridge Solutions LLC

"Building AI from scratch, one token at a time."