ADI v0.1 β€” Artificial Decentralized Intelligence

The first community-trained AI model on Solana.

ADI is not built by a corporation. It's built by thousands of people contributing browser compute and human feedback through the ADI Network.

What is ADI?

ADI (Artificial Decentralized Intelligence) is an open-source language model trained entirely through decentralized contributions:

  • Browser-based compute β€” participants contribute GPU power via WebGPU directly from their browsers
  • Human feedback (RLHF) β€” community members complete training tasks: rating AI responses, debugging code, fact-checking outputs, evaluating translations
  • Community-owned β€” no single entity controls the model, its training data, or its outputs

Model Details

Parameter Value
Model adi-v0.1-base
Architecture Transformer (decoder-only)
Parameters 7B
Training method SFT + RLHF from community feedback
Training data Community-generated RLHF dataset via adinetwork.tech
Languages English (primary), multilingual support
License Apache 2.0
Chain Solana

Training Process

Community members (browsers)
        ↓
  WebGPU compute + RLHF tasks
        ↓
  Training dataset (ratings, corrections, custom answers)
        ↓
  Fine-tuned base model
        ↓
  ADI v0.1

RLHF Task Types

The model is trained using human feedback from the following task categories:

  • AI Arena β€” users compare two model responses and select the better one
  • Code Debug β€” users identify bugs in AI-generated code
  • Fact Check β€” users verify or correct factual claims made by the model
  • Crypto Analysis β€” users evaluate AI market predictions against their knowledge
  • Prompt Battle β€” users write prompts and the community rates output quality
  • Translation β€” users rate and correct multilingual outputs

Each response contributes to a preference dataset used for RLHF fine-tuning.

Usage

API

import requests

response = requests.post(
    "https://api.adinetwork.tech/v1/chat/completions",
    headers={"Authorization": "Bearer YOUR_API_KEY"},
    json={
        "model": "adi-v0.1",
        "messages": [
            {"role": "user", "content": "What is decentralized AI?"}
        ]
    }
)
print(response.json()["choices"][0]["message"]["content"])

Transformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("adinetwork/adi-v0.1-base")
tokenizer = AutoTokenizer.from_pretrained("adinetwork/adi-v0.1-base")

inputs = tokenizer("Explain decentralized AI:", return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=100)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))

How to Contribute

  1. Go to adinetwork.tech
  2. Connect your Solana wallet
  3. Start mining β€” your browser contributes compute power
  4. Complete training tasks β€” your feedback trains the model
  5. Earn ADI points β€” top contributors receive token airdrops

Network Stats

Stats are live at adinetwork.tech:

  • Brains online (active contributors)
  • Tasks completed (total RLHF training samples)
  • Model version
  • Leaderboard

Links

License

Apache 2.0 β€” use it, modify it, build on it. That's the point.


Alone we're dumb. Together we're ADI.

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