Unveiling Quen 3: Multilingual Models with Enhanced Tool Use Capabilities
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In a bold move reminiscent of a high-octane race start, the Quen team has unleashed Quen 3 onto the scene, a powerhouse family of models ranging from 6 billion to a staggering 235 billion parameters. This isn't just a release; it's a full-blown model extravaganza, with a lineup that could make even the most seasoned tech enthusiasts weak at the knees. Unlike the conventional approach of trickling out models in stages, Quen has gone all-in with a single massive drop, showcasing their confidence in the capabilities of their creations.
What sets these models apart, you ask? Well, strap in, because Quen isn't holding back. From multilingual support for 119 languages to enhanced tool use capabilities, these models are geared to revolutionize the way we interact with AI. The introduction of thinking modes adds a dynamic element, allowing users to fine-tune the model's reasoning prowess to suit their needs. It's like giving a supercar the ability to adjust its handling on the fly - pure innovation at its finest.
But wait, there's more. The training process behind these models is a feat in itself, with a mind-boggling 36 trillion tokens used for pre-training across various languages. The incorporation of synthetic data underscores Quen's commitment to pushing the boundaries of AI development. As users dive into the world of Quen 3 at chat.quen.ai, they're met with a playground of possibilities, where they can witness firsthand the models' thinking modes in action. It's not just about generating responses; it's about unleashing a new era of AI interaction that promises to redefine the status quo.
Image copyright Youtube
Image copyright Youtube
Image copyright Youtube
Image copyright Youtube
Watch Introducing the Qwen 3 Family on Youtube
Viewer Reactions for Introducing the Qwen 3 Family
Expectations for R2 are high due to the impressive metrics of the models
The formatting and structure of the answers generated by the model are praised
Questions about whether the model is multimodal
Appreciation for the informative video without clickbait
Request for a video on the best way to train a model
Excitement to see the model on Groq and SambaNova
Inquiries about the modality of the model
Discussion on prompt injection "attack" in relation to the model
Request for a solution to getting a "local Claude"
Issues with downloading quantized versions of models from ollama due to possible internet or traffic problems
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