KeelCore

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

Models

Benchmarks, including where we trail models trained on larger budgets, are on the model card.

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 (microsoft/onnxruntime#32886).

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 · LinkedIn · GitHub

Commercial licensing and partnerships: sararavi.ar@gmail.com