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title: KeelCore
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<img src="https://huggingface.co/spaces/KeelCore/README/resolve/main/banner.png" alt="KeelCore: one compact base, small adapters, built to run on your device" width="100%">
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**KeelCore is one compact base model plus many small LoRA adapters.** We pretrain the base once. A new capability then arrives as a small adapter, not a new model, so you download the base once and add only the adapters you need.
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<b><a href="https://huggingface.co/KeelCore/KeelCore-750M" target="_blank" rel="noopener noreferrer">KeelCore-750M</a></b> · <b><a href="https://saravanan-a-r.github.io/KeelCore/" target="_blank" rel="noopener noreferrer">Technical report</a></b> · <b><a href="https://github.com/saravanan-a-r/KeelCore" target="_blank" rel="noopener noreferrer">GitHub</a></b> · <b><a href="#contact">Contact</a></b>
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## Models
| Model | Status | Details |
|---|---|---|
| **<a href="https://huggingface.co/KeelCore/KeelCore-750M" target="_blank" rel="noopener noreferrer">KeelCore‑750M</a>** | Base model | 752M parameters, encoder–decoder, 2,048-token context. English, code and command line. |
Benchmarks, including where we trail models trained on larger budgets, are on the model card.
## Adapters
An adapter is a small, separate download that works only with the base it was trained on. You install the base once, then pick the adapters you need.
| Adapter | Status |
|---|---|
| Text-rewriting adapters | In training |
| Other domains, for example legal and marketing writing | Planned (no dates) |
We plan one repository per adapter, named after the base and the task (`KeelCore-750M-<task>`), possibly at more than one LoRA rank. This page will list each one when it is released.
## Why this approach
* **One base.** A single pretrained encoder–decoder with a tokenizer built for English prose, source code and command-line text.
* **Small adapters.** A rank-16 LoRA adapter trains about 18.3M parameters, 2.4% of the base, while the base weights stay frozen.
* **Runs on your device.** A weight-only int8 ONNX export (0.76 GB) runs in a web browser through ONNX Runtime Web. Because that runtime could not load LoRA adapters, we contributed the support ourselves: a `LoraAdapter` API and an `activeLoraAdapters` run option, merged in October 2026 (<a href="https://github.com/microsoft/onnxruntime/pull/32886" target="_blank" rel="noopener noreferrer">microsoft/onnxruntime#32886</a>).
## Built with KeelCore
**EchoMeBetter** is the first product built on KeelCore: a browser extension that runs the base and its text-rewriting adapters on your device. It is one application, not the purpose of KeelCore, which is a general base for adapters.
## License
Models are released under the **KeelCore License, Version 1.0**: personal use through the official EchoMeBetter extension and noncommercial research, which requires citing the project. Commercial use, use by an organization and any use outside the extension need a separate written agreement. Adapters follow the same terms unless their repository says otherwise.
## Contact
**Saravanan A R** · <a href="https://www.linkedin.com/in/saravanan-a-r/" target="_blank" rel="noopener noreferrer">LinkedIn</a> · <a href="https://github.com/saravanan-a-r" target="_blank" rel="noopener noreferrer">GitHub</a>
Commercial licensing and partnerships: sararavi.ar@gmail.com
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