AWS Strands Labs has released Strands Decider 2B, an open-source decision model designed for specific tasks like option selection and scoring, rather than text generation. This model, built upon Qwen3.5-2B-Base, features a modified architecture that replaces the language modeling head with a pointer head, enabling it to output choices with calibrated confidence scores. It achieves a 0.723 accuracy on the JevBench public dataset and demonstrates low latency, running efficiently on various hardware including CPUs, consumer GPUs, and Apple silicon. AI
IMPACT This model could accelerate agentic workflows by providing a lightweight, specialized tool for decision-making tasks within AI systems.
RANK_REASON Release of an open-source model with performance benchmarks and technical details.
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- Apple Inc.
- Apple M3 Pro
- AWS
- AWS Strands Labs
- Hugging Face
- JevBench
- Qwen3.5-2B-Base
- RTX 3090
- Strands Decider 2B
- TypeSafe AI
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