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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.
|