Training data. On your terms.
Prepare the samples your next model needs. Choose a model and task environment, set the generation limits, and inspect the output of an approved order.
Open Batch EARLY ACCESS- Model
- Pinned public revision
- Environment
- Math
- Sampling
- Set per request
- Output
- Exported delivery files
An example configuration, not an active order or a delivered dataset.
A dataset you can inspect.
Approved orders expose their delivery files and recorded generation details. The workspace keeps the requested configuration, progress and delivered output separate.
From configuration to next step.
- 01
Choose the task
Select a public model revision and a supported generation environment. Execution still requires qualification.
- 02
Set the scope
Define prompt count, samples per prompt, token limits and sampling. Review an available quote before confirming anything.
- 03
Inspect the delivery
For an approved order, follow progress and download the exported files. Review delivery details and checksums when provided.
Built around your workload.
No fixed public price is advertised. An eligible configuration may receive a scoped quote in the workspace; estimates are not delivery guarantees.
- Model identity
- Public model repository and pinned revision, subject to runtime compatibility and qualification.
- Task environments
- Code, math, instruction following and logic. The workspace catalog determines which configurations are eligible.
- Generation controls
- Prompt count, samples per prompt, output-token limits, thinking mode where supported, and sampling parameters.
Explore now. Execution is gated.
Generation requires approved pilot access and a qualified, available configuration. The workspace checks ordering eligibility. Browsing, signing in or requesting access does not place an order.