---
library_name: transformers
pipeline_tag: text-generation
license: apache-2.0
tags:
  - adaptiq
  - 210-code-labs
  - code
  - agent
  - routed-experts
  - openai-compatible
---

# 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:

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

Model name:

```text
AdaptIQ-7B
```

Example:

```bash
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.