Docs
Everything you need to go from dataset upload to downloadable artifacts and customer guides — fast, predictable, and clear.
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Start Here
First-step docs for preparing your dataset, published limits, and first successful run.
Run Flow
Core run journey from upload through training, delivery, and retention windows.
Job Lifecycle
Run states: created, queued, training, completed, failed.
Uploading Data
Upload mechanics, large-file reliability, and failure recovery.
Limits & Retention
Tier limits, download windows, retries, and automatic deletion.
Runtime & Queue
What queued means, what affects run timing, and when to follow up.
Artifacts & Downloads
What you receive after training and how to use it.
How to Use Adapters
Load adapter weights with your base model and test inference.
Access & Account
Secure access guidance for signing in and managing run visibility.
Developer
Integrate BeaverYard into your workflow with the Public API and LoRA fine-tuning guides.
Help
Fast paths for diagnosing issues and getting unstuck quickly.
Need help fast?
If a run fails or something looks off, start here.
Docs landing FAQ
Where should I start?
Start with Getting Started, then check Dataset Format and Pricing & Tier Limits before your first run.
What do I download after a run completes?
You receive downloadable artifacts and customer guides. See Artifacts & Downloads for details.
How long are downloads available?
Every run includes 7-day retention. After expiry, all files are permanently deleted.
How do I access my runs?
BeaverYard uses email + password with optional TOTP 2FA. See Authentication for details.
My run failed — what now?
Use Troubleshooting for the quickest checks and recommended next steps.