Play with the model directly over here: https://
huggingface.co/spaces/Apollo-
LMMs/Apollo-3B
…
@reach_vb
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Apollo-3B multimodal AI model now available for testing
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Meta Apollo Multimodal Models: 7B SoTA Video Understanding
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Let's gooo! @AIatMeta released Apollo Multimodal Models Apache 2.0 licensed – 7B SoTA & beats 30B+ checkpoints🔥
— Vaibhav (VB) Srivastav (@reach_vb) 16 décembre 2024
Key insights:
> 1.5B, 3B and 7B model checkpoints
> Can comprehend up-to 1 hour of video 🤯
> Temporal reasoning & complex video question-answering
> Multi-turn… pic.twitter.com/v8bjDCp6qdLet's gooo! @AIatMeta released Apollo Multimodal Models Apache 2.0 licensed – 7B SoTA & beats 30B+ checkpoints Key insights: > 1.5B, 3B and 7B model checkpoints
> Can comprehend up-to 1 hour of video > Temporal reasoning & complex video question-answering
> Multi-turn -
All Models BF16: Context Length Maximization via TGI v3
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All models are bf16. re: context, I know in past we have had restricted usage during spikes, would need to double check for 3.3. We do try to maximise the context length where possible. btw all powered via TGI v3:
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Inference API Authentication and Rate Limiting Protection
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all calls to Inference API are authenticated and are rate limited above certain limits to avoid abuse – so no matter the tier you'd be rate-limited if many people use it.
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MBP M2 Pro Upgrade for Local AI Model Performance
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upgrading from a MBP M2 Pro 24GB – Mostly upgrading because it would overheat quite a lot when playing with local models
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Meta releases behavioral foundation model for virtual humanoid agent control
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Meta dropped a first-of-its-kind behavioral foundation model to control a virtual physics-based humanoid agent for a wide range of whole-body tasks 🔥
— Vaibhav (VB) Srivastav (@reach_vb) 14 décembre 2024
Available on Hugging Face 🤗
pic.twitter.com/POA5piqEnCMeta dropped a first-of-its-kind behavioral foundation model to control a virtual physics-based humanoid agent for a wide range of whole-body tasks Available on Hugging Face