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.
KeelCore-750M · Technical report · GitHub · Contact
| Model | Status | Details |
|---|---|---|
| KeelCore‑750M | 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.
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.
LoraAdapter API and an activeLoraAdapters run option, merged in October 2026 (microsoft/onnxruntime#32886).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.
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.
Saravanan A R · LinkedIn · GitHub
Commercial licensing and partnerships: sararavi.ar@gmail.com