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What is Tülu 3?

Tülu 3 represents a state-of-the-art language model designed by the Allen Institute for AI (Ai2) with the objective of enhancing expertise in various domains such as knowledge, reasoning, mathematics, coding, and safety. Built on the foundation of the Llama 3 Base, it undergoes an intricate four-phase post-training process: meticulous prompt curation and synthesis, supervised fine-tuning across a diverse range of prompts and outputs, preference tuning with both off-policy and on-policy data, and a distinctive reinforcement learning approach that bolsters specific skills through quantifiable rewards. This open-source model is distinguished by its commitment to transparency, providing comprehensive access to its training data, coding resources, and evaluation metrics, thus helping to reduce the performance gap typically seen between open-source and proprietary fine-tuning methodologies. Performance evaluations indicate that Tülu 3 excels beyond similarly sized models, such as Llama 3.1-Instruct and Qwen2.5-Instruct, across multiple benchmarks, emphasizing its superior effectiveness. The ongoing evolution of Tülu 3 not only underscores a dedication to enhancing AI capabilities but also fosters an inclusive and transparent technological landscape. As such, it paves the way for future advancements in artificial intelligence that prioritize collaboration and accessibility for all users.

What is QwQ-Max-Preview?

QwQ-Max-Preview represents an advanced AI model built on the Qwen2.5-Max architecture, designed to demonstrate exceptional abilities in areas such as intricate reasoning, mathematical challenges, programming tasks, and agent-based activities. This preview highlights its improved functionalities across various general-domain applications, showcasing a strong capability to handle complex workflows effectively. Set to be launched as open-source software under the Apache 2.0 license, QwQ-Max-Preview is expected to feature substantial enhancements and refinements in its final version. In addition to its technical advancements, the model plays a vital role in fostering a more inclusive AI landscape, which is further supported by the upcoming release of the Qwen Chat application and streamlined model options like QwQ-32B, aimed at developers seeking local deployment alternatives. This initiative not only enhances accessibility for a broader audience but also stimulates creativity and progress within the AI community, ensuring that diverse voices can contribute to the field's evolution. The commitment to open-source principles is likely to inspire further exploration and collaboration among developers.

Media

Media

Integrations Supported

Baseten
BuildThatIdea
C#
CSS
Clojure
Elixir
HTML
Java
JavaScript
Julia
Kotlin
Qwen Chat
R
Ruby
Rust
SQL
Scala
Sesterce
TypeScript
Visual Basic

Integrations Supported

Baseten
BuildThatIdea
C#
CSS
Clojure
Elixir
HTML
Java
JavaScript
Julia
Kotlin
Qwen Chat
R
Ruby
Rust
SQL
Scala
Sesterce
TypeScript
Visual Basic

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Ai2

Date Founded

2014

Company Location

United States

Company Website

allenai.org/tulu

Company Facts

Organization Name

Alibaba

Date Founded

1999

Company Location

China

Company Website

qwenlm.github.io/blog/qwq-max-preview/

Categories and Features

Categories and Features

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