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Strands Decider 2B v1

Strands Decider 2B v1 scores typed questions with an open adapter and head. Read its runtime, three-run weight average and public benchmark results.

By Strands Labs · Hugging Face weight release: 9 Oct 2026

A LoRA adapter and option-scoring head on Qwen3.5-2B-Base for Choice, Noul and Score questions. This v1 release averages three training runs and supplies a System One server. Its optional vision path keeps the base vision tower without image training. The community SageMaker project deploys the separate Strands Decider 2B hobson-v19 checkpoint.

Quick answers

What is Strands Decider 2B v1 by Strands Labs?

Strands Decider 2B v1: A LoRA adapter and option-scoring head on Qwen3.5-2B-Base for Choice, Noul and Score questions.

Strands Decider 2B v1 facts · Source: huggingface.co ↗

Who makes Strands Decider 2B v1?

Camera test and hosting estimates

The camera-still report uses the existing v1 checkpoint, without new image training. Its 768 px Python path scores 85.2% at a test-selected cutoff. The HTTP path resizes to 448 px. Hosting costs depend on sustained volume; the reported L4 break-even is arithmetic without a measured L4 throughput run.

Camera evidence · Hosting utilisation example

Source

A separate E4B production deployment

Amazon’s ticket-labelling report uses a different Gemma 4 E4B checkpoint, not this 2B v1 model. The team describes SageMaker deployment with a shadow-comparison mode and a 45-second configuration rollback. Its reported cost depends on busy instances and shorter prompts; the published account supplies no raw tickets or held-out accuracy total.

Production report and cost limits

Source

Facts

Base
Qwen/Qwen3.5-2B-Base; separate base download required
Inputs
Text; optional image path needs the vision extra and a runtime release after 0.1.0
Runtime
strands-decider Python package, CPU, MPS or CUDA; POST /v1/systemone
Licence
Apache-2.0; LICENSE.md included

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