spiral-rl/Spiral-Qwen3-4B

Spiral-Qwen3-4B is a 4 billion parameter language model developed by spiral-rl, based on the Qwen3 architecture, and trained with the SPIRAL self-play framework. This model learns advanced reasoning strategies by playing multi-turn, zero-sum games against continuously improving versions of itself, eliminating the need for human supervision. It excels at developing transferable reasoning capabilities, showing substantial gains on math and general reasoning benchmarks. The model supports a 40960 token context length and is optimized for autonomous reasoning development through competitive self-play.