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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 Antaeus?

Antaeus acts as a semantic policy engine aimed at developers focused on evaluating human-written rules concerning language, context, intent, or exceptions. The engine is built on an open-source core using Go and includes a command-line interface capable of loading policy artifacts in either YAML or JSON formats, validating them against versioned schemas while carrying out named regression tests. Through this evaluation process, it produces definitive results such as allow, review, deny, or failure, along with the identification of the policy and supporting evidence for the decisions rendered, while delegating the tasks of authentication, authorization, and subsequent actions to the application itself. Developers have the flexibility to run a deterministic, credential-free local workflow or take advantage of an experimental hosted dashboard and API for managing policies and assessing various inputs. Additionally, an experimental OpenAI evaluator is also available for testing purposes. It is essential to keep in mind that Antaeus is still in its developmental phase; therefore, the capacity of the hosted service is somewhat constrained and lacks a production-level service level agreement (SLA), which may lead to reliability issues when demand is high. As such, potential users should consider these limitations when integrating Antaeus into their workflows.

Media

Media

No images available

Integrations Supported

Python
Qwen3.5
TypeScript

Integrations Supported

OpenAI

API Availability

Has API

API Availability

Has API

Pricing Information

$0.04 per 1M tokens
Free Version

Pricing Information

Free
The local Go engine is available under the Apache-2.0 license at no charge. Hosted usage includes a shared free allowance of up to 100 completed decisions per day, subject to shared capacity and without a production SLA. Paid usage is available through credit purchases starting at $10; hosted evaluation charges are usage-based.
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS
Mac
On-Prem
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

Antaeus

Company Website

antaeus.io

Categories and Features

AI Decision Models

Not specified

Categories and Features

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