Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Clef is a multimodal decision-making model with 27 billion parameters that transforms a given state and a schema of typed inquiries into structured outcomes. This model is capable of interpreting state information presented in various formats, including text, JSON, images, and video, and accordingly generates a probability for each permissible option linked to every question. Supporting a context window of 65,536 tokens along with vision input capabilities, Clef enables developers to analyze both structured application data and visual elements within a unified decision-making process. It accommodates three distinct formats for typed questions: noul, which estimates the likelihood of a proposition being true; choice, which allows for selection among predefined options while providing probabilities for each; and score, which assesses an input against a set of criteria to yield a probability-weighted score. Users can submit anywhere from 1 to 64 questions in a single request, with the corresponding answers returned under the same question identifiers, enhancing the model's efficiency and flexibility. This comprehensive approach ensures that a wide range of applications can leverage Clef's capabilities for diverse decision-making scenarios.
Description
Strands Decider is a compact and swift decision-making model, known as a System One model, tailored for agentic AI applications. In contrast to a language model that produces random text, this model selects from a set of predefined options, responds to yes-or-no inquiries, or assesses inputs using an ordered scale. Each decision made by the Strands Decider is accompanied by a calibrated confidence score, enabling the efficient processing of routine decisions while allowing uncertain cases to be escalated to either a larger model or a human for further analysis. The initial iteration of this model, strands-decider-2B, comprises 1.9 billion parameters and is built upon the Qwen3.5-2B-Base architecture, featuring a streamlined pointer head in place of its language-modeling component. It performs evaluations in a single forward pass, eliminating the need for text generation or a decoding loop. Supported types of decisions encompass choice selections, noul for probability assessments, and score for evaluating ordered scales. This model is engineered for a variety of applications, including model routing, selecting tools, verifying tool arguments, triaging requests, establishing grounding and safety measures, classifying policies, and providing economical evaluations, thereby enhancing its utility in diverse AI workflows.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
JSON
Yes
Markdown
Yes
Python
Yes
Strands Agents
No
TypeScript
Yes
Integrations
JSON
No
Markdown
No
Python
No
Strands Agents
Yes
TypeScript
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Cloudflare
Founded
2009
Country
United States
Website
developers.cloudflare.com/workers-ai/models/clef/
Vendor Details
Company Name
Strands Labs
Country
United States
Website
github.com/strands-labs/strands-decider