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What is Tev1?

Tev1 is an advanced model designed for quick decision-making and classification, created by Together AI and fine-tuned from Qwen3.5 4B. It features an intuitive interface that allows users to enter a state, pose a question, and select from 2 to 24 labeled options, leading to an output of a single letter that corresponds to a semantic key via software. This innovative structure is particularly advantageous for diverse production tasks, including the routing of support tickets, evaluating automated returns, implementing policy guidelines, conducting sentiment analysis, categorizing documents, and embedding precise decision-making within extensive agent workflows. With its impressive 4.7B parameter count and a context window of 32.8K tokens, Tev1 leverages non-thinking generation to deliver swift and dependable classifications. The model has been honed using a broad collection of 37,840 examples that encompass intent detection, boolean comprehension, sentiment evaluation, policy enforcement, and the categorization of news articles and academic research. For optimal performance, it is recommended to set the temperature to 0 and maintain a low output budget, which ensures that the results remain both consistent and easy to understand. Furthermore, Tev1 is recognized as a highly adaptable tool that meets a variety of classification requirements effectively and efficiently. Overall, its capabilities make it an essential asset in any decision-making framework.

What is Strands Decider?

The Strands Decider is an efficient and agile decision-making framework, categorized as a System One model, specifically designed for applications in agency-driven AI. Unlike traditional language models that generate arbitrary text, this approach focuses on selecting from a predetermined set of options and efficiently answering yes-or-no questions or evaluating inputs on a ranked scale. Each decision rendered by the Strands Decider comes with a well-calibrated confidence score, which not only facilitates the swift handling of standard decisions but also allows for uncertain situations to be referred to a more advanced model or a human for in-depth examination. The first version of this model, named strands-decider-2B, consists of 1.9 billion parameters and is based on the Qwen3.5-2B-Base architecture, incorporating a refined pointer head instead of traditional language generation features. It executes evaluations in a single forward pass, thus bypassing the need for text generation or complex decoding processes. This model supports various types of decision-making, including option selections, noul for probability evaluations, and score for assessments on an ordered scale. Engineered for a wide range of purposes, it effectively aids in model routing, tool selection, validation of tool arguments, request triaging, establishing safety and grounding protocols, policy classification, and offering cost-effective evaluations, significantly broadening its applicability across numerous AI-driven tasks. Consequently, the Strands Decider stands out as a versatile tool that enhances operational efficiency in diverse AI workflows.

Media

Media

Integrations Supported

Python
Qwen3.5
TypeScript

Integrations Supported

Strands Agents

API Availability

Has API

API Availability

Has API

Pricing Information

$0.04 per 1M tokens
Free Version

Pricing Information

Free
Free Version

Supported Platforms

SaaS

Supported Platforms

Mac
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Together AI

Date Founded

2022

Company Location

United States

Company Website

www.together.ai/models/tev1-4b-experimental

Company Facts

Organization Name

Strands Labs

Company Location

United States

Company Website

github.com/strands-labs/strands-decider

Categories and Features

AI Decision Models

Not specified

Categories and Features

AI Decision Models

Not specified

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