Qwen-7B

Qwen-7B

Alibaba
Strands Decider

Strands Decider

Strands Labs
+
+

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About

Qwen-7B is the 7B-parameter version of the large language model series, Qwen (abbr. Tongyi Qianwen), proposed by Alibaba Cloud. Qwen-7B is a Transformer-based large language model, which is pretrained on a large volume of data, including web texts, books, codes, etc. Additionally, based on the pretrained Qwen-7B, we release Qwen-7B-Chat, a large-model-based AI assistant, which is trained with alignment techniques. The features of the Qwen-7B series include: Trained with high-quality pretraining data. We have pretrained Qwen-7B on a self-constructed large-scale high-quality dataset of over 2.2 trillion tokens. The dataset includes plain texts and codes, and it covers a wide range of domains, including general domain data and professional domain data. Strong performance. In comparison with the models of the similar model size, we outperform the competitors on a series of benchmark datasets, which evaluates natural language understanding, mathematics, coding, etc. And more.

About

Strands Decider is a small, fast decision model, or System One model, built for agentic AI workflows. Unlike an LLM that generates arbitrary text, it chooses between predefined options, answers yes-or-no questions, or rates inputs on an ordered scale. Each decision includes calibrated confidence, making it possible to send uncertain cases to a larger model or a human while handling routine decisions quickly. The first model in the family, strands-decider-2B, has 1.9 billion parameters and is based on a Qwen3.5-2B-Base torso with its language-modeling head replaced by a lightweight pointer head. It evaluates answers in one forward pass without text generation or a decoding loop. Supported decision types include choice, noul for probability-of-true questions, and score for ordered scales. The model is designed for tasks such as model routing, tool selection, tool-argument checking, request triage, grounding and safety guardrails, policy classification, and low-cost evaluation.

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Supported
Linux Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Large language model developers

Audience

Developers and AI engineering teams needing to make fast, confidence-calibrated routing, classification, scoring, guardrail, and tool-use decisions inside agentic workflows

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Open source
Free Version Supported
Free Trial Not Supported

Pricing

Free
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Alibaba
Founded: 1999
China
github.com/QwenLM/Qwen-7B

Company Information

Strands Labs
United States
github.com/strands-labs/strands-decider

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Categories

AI Models Supported
Foundation Models Supported

Categories

AI Decision Models Supported

Integrations

AiAssistWorks Supported
CSS Supported
Clojure Supported
Elixir Supported
F# Supported
Horay.ai Supported
Hugging Face Supported
JavaScript Supported
Julia Supported
Kotlin Supported
LM-Kit.NET Supported
PHP Supported
Python Supported
QwenCloud Supported
R Supported
Ruby Supported
Scala Supported
Sesterce Supported
Strands Agents Not Supported
Visual Basic Supported

Integrations

AiAssistWorks Not Supported
CSS Not Supported
Clojure Not Supported
Elixir Not Supported
F# Not Supported
Horay.ai Not Supported
Hugging Face Not Supported
JavaScript Not Supported
Julia Not Supported
Kotlin Not Supported
LM-Kit.NET Not Supported
PHP Not Supported
Python Not Supported
QwenCloud Not Supported
R Not Supported
Ruby Not Supported
Scala Not Supported
Sesterce Not Supported
Strands Agents Supported
Visual Basic Not Supported
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