Local Models Docs

Understand the private lane for local model work.

Local Models Docs explain local lanes, open-weight models, private-context workflows, runtime configuration, and how Ethen Local fits into the model workspace. The page explains when a local lane makes sense, what runtime boundaries matter, and how private-context work can fit into the broader workspace without overpromising what every setup can do.

A guide to local lanes and open-weight work.

Local Models Docs help users understand how local and open-weight model work fits into Ethen. The page explains private lanes where supported, model-lane selection, runtime configuration, limitations, and the relationship between Ethen Local, Gateway, Code, and workflows. It keeps local lanes distinct from a universal offline promise; behavior depends on the runtime, model availability, device environment, and workspace configuration. Local model docs should help users understand the tradeoffs clearly: proximity, control, runtime setup, model availability, and where local work belongs relative to cloud or hosted lanes.

  • Explain local lanes as a private-lane direction where supported. A local lane is most useful when the user understands why they want it.
  • Introduce open-weight models as a useful category for experimentation and controlled workflows. Runtime awareness matters because local behavior depends on real machine and configuration limits.
  • Clarify that runtime behavior depends on configuration and model availability. Private-context workflows should stay grounded in what the configured lane actually supports.
  • Connect local lanes to Gateway routing, Code review, and Workflow design. Lane choice matters because local and cloud paths often complement each other.
  • Help users choose between flagship, open, and local lanes for different work. Review matters because local work can still lead to broader decisions.

Local model documentation capabilities

The docs help users understand when a local lane is useful and what needs to be configured before it becomes part of a workflow. The docs are here to clarify the role of local work, not to sell it as a universal replacement for every other model path.

Local lane concepts

Explain how a private lane can handle sensitive context where local support and runtime configuration are available. Local-lane concepts help users decide when proximity and control matter most.

Open-weight model overview

Describe open-weight models as a category for experimentation, controlled workflows, and cost-aware iteration. Runtime concepts help users understand what must be configured before a workflow depends on the lane.

Runtime configuration awareness

Clarify that behavior depends on device, runtime, model files, resource limits, and workspace settings. Model-availability concepts matter because not every local option behaves the same way.

Model-lane selection

Help users decide when to use flagship, open, or local lanes for a task. Private-context concepts matter because sensitive work should be chosen deliberately.

Private workflow design

Show how sensitive code, internal notes, drafts, and research can use local lanes where supported. Hybrid-work concepts matter because teams often move between local and cloud paths.

Gateway connection

Explain how local lanes can fit into Gateway routing when configured. Evidence concepts matter because the decision to use a local lane should remain reviewable.

How local model work fits

Local work is chosen intentionally, with clear understanding of support and limitations. A builder should come away knowing when local work is a fit and what questions to ask before relying on it.

01

Identify sensitive context

Decide whether the task involves private code, internal notes, customer-related context, or draft material. Start by defining why the work may deserve a local pass.

02

Check local-lane support

Confirm that the runtime, model, device environment, and workspace configuration support the intended work. Review the runtime and configuration assumptions first.

03

Choose the lane

Use a local lane for private or controlled work where supported, and use flagship or open lanes when they better fit the task. Bring in only the context that should enter the local lane.

04

Run with visibility

Keep model choice, context, outputs, and review notes visible in the workspace history. Evaluate the result before moving it into broader workflows.

05

Connect to workflows

Use Workflow and Gateway concepts to make local model steps part of repeatable, reviewable processes. Keep the lane decision and evidence attached to the work.

Visibility and control

Local model docs should help users understand what is controlled, what is supported, and what needs review. Good local docs make support and limitation just as clear as the benefits.

Lane visibility

Show when a workflow uses a local lane where supported. Support visibility helps users know whether the lane is truly available.

Runtime limits

Clarify that local behavior depends on configuration and available resources. Context visibility helps users understand what stayed in the local path.

Private context

Explain how sensitive work can use private lanes without promising universal isolation. Boundary visibility helps users decide when a result should move onward.

Workflow evidence

Keep local outputs, review notes, and lane choices attached to the workspace record. Evidence visibility helps teams review why the local lane was chosen.

What this page represents

This page explains local model concepts for Ethen. It describes private lanes, open-weight models, runtime awareness, and workflow fit while final setup details belong in verified local-model documentation. The page stays conceptual about runtime behavior and avoids inventing exact setup instructions or guarantees not verified elsewhere in the repo.

Frequently Asked Questions

Understand the private lane before you use it.

Read Local Models Docs to understand local lanes, open-weight models, runtime configuration, and where private model work fits inside Ethen. Use it when local runtime boundaries matter as much as model output.