Bakery

Bakery: Open Source AI Studio for Fine-Tuning, Monetization, and Decentralized Storage

Bakery is a platform for AI startups, ML engineers, and researchers to fine-tune, monetize, and deploy AI models with one-click simplicity. It supports open-source and proprietary models, datasets, and marketplace monetization, with an emphasis on easy setup, experimentation, and decentralized storage.

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How Bakery Works

• Browse and select models from open-source repositories (e.g., deepseek-ai/Janus-Pro-7B, nerderlyne/Llama-3.3-7B-instruct-ablated) or integrate your own.
• Upload or create datasets to fine-tune models to your domain needs.
• Adjust fine-tuning settings and run experiments to achieve target performance.
• Monetize trained or customized models via the Bakery Marketplace or direct integrations.
• Utilize decentralized storage options to manage data securely and privately.

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Getting Started

1. Sign up and access the Bakery dashboard.
2. Create or upload your dataset.
3. Choose a base model to fine-tune.
4. Configure fine-tuning settings and run experiments.
5. Publish to the Marketplace or deploy for private use.

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Supported Capabilities

• Fine-tune a wide range of AI models (open-source and proprietary)
• One-click monetization through the Bakery Marketplace
• Dataset management and preprocessing tools
• Model deployment and integration options
• Decentralized storage support for data and model artifacts
• Documentation and community resources to assist experimentation

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Frequently Asked Questions (summary)

• What is the Bakery, and what does it offer? A platform to fine-tune, monetize, and manage AI models with support for open-source and proprietary models, datasets, and decentralized storage.
• What types of models can I fine-tune on the Bakery? Open-source and compatible proprietary models available in the platform’s ecosystem.
• How does the Bakery’s fine-tuning process work? Upload datasets, configure training settings, and run experiments to improve model performance.
• How much does it cost to use the Bakery? Pricing details vary by plan and usage; check the Bakery pricing page for the latest.
• What datasets can I use on the Bakery? You can upload your own datasets or use available public datasets within the platform.
• What integrations does the Bakery support? Marketplace monetization, model deployment, and decentralized storage integrations.
• How does the Bakery handle decentralized storage? Data and model artifacts can be stored and accessed via decentralized storage options for security and privacy.

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Core Features

• One-click fine-tuning workflow for open-source and proprietary models
• Integrated dataset creation and preprocessing tools
• Monetization through the Bakery Marketplace and direct integrations
• Support for decentralized storage to enhance data security and privacy
• Easy deployment and integration options for production use
• Resources and documentation to guide experimentation and optimization
• Open ecosystem with access to diverse base models and community models

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Models on Bakery (Examples)

• deepseek-ai/Janus-Pro-7B (Model: 5.0, 115723) – Open Source
• nerderlyne/Llama-3.3-7B-instruct-ablated (Model: 5.0, 115723) – Open Source

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Safety and Compliance

• Use responsibly: ensure compliance with licensing terms for base models and datasets.
• Follow data privacy practices when uploading and sharing datasets or model artifacts.

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Where to Learn More

• Bakery Blog
• Documentation
• LinkedIn / Discord community channels