AdaptIQ-7B

AdaptIQ is an open-weight, self-hosted routed-expert AI system from 210 Code Labs. This repository publishes the AdaptIQ model card, manifest, and deployment metadata for AdaptIQ-7B.

Architecture

AdaptIQ uses expert composition instead of unsafe direct weight blending across incompatible architectures:

Capability	Expert
Text / reasoning	`mistralai/Mistral-7B-Instruct-v0.3`
Code / debugging	`ibm-granite/granite-8b-code-instruct`
Image generation	`stabilityai/sd-turbo`

Composition method: routed_experts. alpha=0.5 is retained only for compatible linear-merge experiments and is not used by the routed-expert release path.

Capabilities

General text chat
Code generation and debugging
Agent-oriented reasoning workflows
Image generation through the routed image expert
OpenAI-compatible hosted API on Modal
MCP-ready tool schema scaffold

Hosted API

Modal endpoint:

https://codelabs--adaptiq-api-api.modal.run/v1

Model name:

AdaptIQ-7B

Example:

curl https://codelabs--adaptiq-api-api.modal.run/v1/models \
  -H "Authorization: Bearer $ADAPTIQ_API_KEY"

Intended use

AdaptIQ is intended for software development, automation, research, education, and creative self-hosted generation workflows.

Limitations

This release is a routed expert system metadata release. It does not package all upstream expert weights into a single checkpoint. Runtime deployments download/load the configured open-weight experts according to the AdaptIQ manifest.

License

The AdaptIQ release metadata is Apache-2.0. Respect the licenses and model cards of all upstream experts before redistribution or commercial deployment.

Downloads last month: -; Downloads are not tracked for this model. How to track