Try @AIatMeta Llama-3.2-90B-Vision-Instruct-Turbo @Gradio demo with @togethercompute api here: https://
huggingface.co/spaces/akhaliq
/Llama-Vision-Together
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Llama-3.2-90B-Vision-Instruct-Turbo Demo with Together Compute
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New 1B and 3B Models Available for Mobile Phones
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We can't wait to hear how you feel about running the new 1B & 3B models on your phone.
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Replit AI Helps New Programmers Build Interactive Web Apps
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"Replit AI is helping new programers quickly build interactive web apps"pic.twitter.com/G8J1Mn7mGe
— Replit ⠕ (@Replit) 25 septembre 2024"Replit AI is helping new programers quickly build interactive web apps"
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Weekly AI News Roundup: Gemini, Llama, and More
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It is only Wednesday, but it feels already like way too much AI news And more to come tomorrow What do we have so far:
– New Gemini 1.5 models
– Advanced Voice Mode rollout
– Llama 3.2 and loads of AI demos – HuggingFace MacOS app
– Mira is leaving -
Llama 3.2 Small Models Enable Mobile Development on Snapdragon
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These models may be small, but this news is big! Excited to see what mobile developers will be able to do with Llama 3.2 1B & 3B on Snapdragon!
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New AI Models Coming to Cortex AI Platform
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Excited to see what developers build with these new models — and the 11B & 90B when they roll out on Cortex AI!
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Llama 3.2 Preview Now Available on Groq via Flowise
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Llama 3.2 preview using @GroqInc on Flowise! https://t.co/RSNVO28BVW pic.twitter.com/aqfk8yzn0E
— FlowiseAI (@FlowiseAI) 25 septembre 2024Llama 3.2 preview using @GroqInc on Flowise!
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Models Ready for NVIDIA NIM Integration
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Exciting to see these models ready to go with NVIDIA NIM!
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Llama 3.2 Lightweight Models Launch with Mobile Platform Support
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The lightweight Llama 3.2 models shipping today include support for @Arm
, @MediaTek & @Qualcomm to enable the developer community to start building impactful mobile applications from day one. -

Llama 1B & 3B: Lightweight Models for Mobile Edge Deployments
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Even With their lightweight size, Llama 1B & 3B have a range of capabilities and were built to run on mobile devices & lightweight edge deployments. They empower developers to build personalized & private, on-device agentic applications.