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An implementation of the 's1' (simple test-time scaling) technique designed to work with Ollama, enabling models to use extended chain-of-thought reasoning before producing an output.
stars
13
forks
2
The project is a thin implementation of a specific research paper (s1: Simple test-time scaling) adapted for the Ollama ecosystem. With only 13 stars and negligible activity over 400+ days, it lacks the momentum or community necessary to form a moat. The concept of test-time scaling has been largely internalized by frontier labs (OpenAI's o1 series) and open-weights releases (DeepSeek-R1). These models perform reasoning natively within the model architecture or via specialized fine-tuning, rendering external 'wrappers' that force scaling via prompting or external loops less effective. Furthermore, Ollama itself and tools like Open WebUI are likely to integrate these reasoning workflows natively. This project serves as an interesting historical reference for how to implement s1 locally, but it does not represent a defensible software product in the current rapidly evolving LLM landscape.
TECH STACK
INTEGRATION
cli_tool
READINESS