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Microsoft's F4 and 54 Models: Revolutionizing AI with Multimodal Capabilities

Microsoft's F4 and 54 Models: Revolutionizing AI with Multimodal Capabilities
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In a groundbreaking move, Microsoft unveiled the F4 model with a whopping 14 billion parameters back in December. The tech world was abuzz with excitement, but the weights for this beast were shrouded in mystery until January. Ah, the anticipation! But hold on a minute, folks. What about the real star of the show, the 3.8 billion parameter mini model that had tongues wagging in the tech community? Well, fear not, because Microsoft finally dropped the mic and delivered the goods on that front, along with a range of other model varieties to spice things up.

Now, let's talk about what makes these models tick. The 54 mini instruct model has got a nifty new feature - function calling. Perfect for those local model tasks that require a touch of finesse without the heavy lifting. And let's not forget, Microsoft isn't living in the clouds - they know you want these models on your devices. That's why they've rolled out the Onyx runtime, making it possible to flex these models on platforms like Raspberry Pi and mobile phones. It's a game-changer, folks.

But wait, there's more! The 54 multimodal model is where things get really spicy. With a vision encoder and an audio encoder in the mix, this bad boy can process images and audio like a pro. And let's not overlook the sheer scale of this operation - we're talking 3.8 billion parameters here, folks. This model is a beast in every sense of the word. The Transformers library has leveled up to handle these multimodal marvels, making it a breeze to process text, images, and audio data with finesse. And the cherry on top? The model's prowess in tasks like OCR and translation is nothing short of jaw-dropping.

microsofts-f4-and-54-models-revolutionizing-ai-with-multimodal-capabilities

Image copyright Youtube

microsofts-f4-and-54-models-revolutionizing-ai-with-multimodal-capabilities

Image copyright Youtube

microsofts-f4-and-54-models-revolutionizing-ai-with-multimodal-capabilities

Image copyright Youtube

microsofts-f4-and-54-models-revolutionizing-ai-with-multimodal-capabilities

Image copyright Youtube

Watch Unlock Open Multimodality with Phi-4 on Youtube

Viewer Reactions for Unlock Open Multimodality with Phi-4

phi4 model is favored for general purpose offline usage

Excitement for the new llama4 model

Request for a local tool calling video with the model

Question about audio input triggering a function call

Appreciation for the video content

Mention of light mode on Jupyter

Ollama 0.5.12 current build doesn't support mini or multimodal version

Phi model has been used locally and is considered fantastic, but lacks function calling support

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