# Frank Morales: Open-Weight Models and Datasets
Source: https://savrn.com/model-publishers/frankmorales2020
Markdown alternate of the page above; the site index is https://savrn.com/llms.txt

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## Models

Model · Text generation

### [qwen2.5-0.5b-topo-governed-cbp-fineweb](https://savrn.com/models/qwen2-5-0-5b-topo-governed-cbp-fineweb)

[Frank Morales](https://savrn.com/model-publishers/frankmorales2020)

article: https://medium.com/ai-simplified-in-plain-english/the-architecture-of-permanence-how-topo-cbp-tamed-the-uncharted-stream-a17c1d8425af An open-weights causal transformer checkpoint evaluating the synthesis of Continual Backpropagation (CBP) and the Topological Governor (TOPO-2026) under non-stationary online web streaming. This model validates that an autoregressive foundation model can continuously adapt to streaming data without experiencing representational drift or catastrophic forgetting on silicon. In Loss of plasticity in deep continual learning (Nature, 2024), Dohare, Hernandez-Garcia, Lan, Rahman, Mahmood, and Sutton demonstrated that standard gradient-based optimization…

Open weights apache-2.0 494M parameters 32,768 tokens

[View model](https://savrn.com/models/qwen2-5-0-5b-topo-governed-cbp-fineweb)

## Explore More

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## Source

- Listed from their public repositories, read 2026-09-27.
- [Hugging Face profile](https://huggingface.co/frankmorales2020)
- [How the hub is built](https://savrn.com/model-hub/methodology)