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After saying AI only 120 times, we have the next family of Gemma models!
After saying AI only 120 times, we have the next family of Gemma models!
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🆓Gemma Model Family:
🆓Gemma Model Family:
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🦙 Gemma 2: 27B parameter model, comparable to Llama-3-70B.
🦙 Gemma 2: 27B parameter model, comparable to Llama-3-70B.
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👁️ PaliGemma: PaliGemma is a new vision-language model family from Google, combining SigLIP as an image encoder and Gemma-2B as a text decoder. 🌟🖼️📝
👁️ PaliGemma: PaliGemma is a new vision-language model family from Google, combining SigLIP as an image encoder and Gemma-2B as a text decoder. 🌟🖼️📝
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📽️Moren technical Details of PaliGemma:
📽️Moren technical Details of PaliGemma:
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👉Model Types: Pretrained (PT) 🏋️‍♂️, Mix (general-purpose) 🔄, and Fine-tuned (FT) 🎯.
👉Model Types: Pretrained (PT) 🏋️‍♂️, Mix (general-purpose) 🔄, and Fine-tuned (FT) 🎯.
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👉Resolutions and Precisions: 224x224, 448x448, 896x896; bfloat16, float16, float32. 📏📐
👉Resolutions and Precisions: 224x224, 448x448, 896x896; bfloat16, float16, float32. 📏📐
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👉Tasks: Image captioning 🏞️🖊️, visual question answering (VQA) ❓🤔, detection 🔍, referring expression segmentation ✂️, document understanding 📄.
👉Tasks: Image captioning 🏞️🖊️, visual question answering (VQA) ❓🤔, detection 🔍, referring expression segmentation ✂️, document understanding 📄.
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👉Architecture: SigLIP-So400m for images 🖼️, Gemma-2B for text 📝.
👉Architecture: SigLIP-So400m for images 🖼️, Gemma-2B for text 📝.
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👉Inference: Via PaliGemmaForConditionalGeneration class in transformers 🤖.
👉Inference: Via PaliGemmaForConditionalGeneration class in transformers 🤖.
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👉Fine-tuning: Available using both big_vision and transformers frameworks 🔧🛠️.
👉Fine-tuning: Available using both big_vision and transformers frameworks 🔧🛠️.
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👉Memory Considerations: Higher resolution models require more memory 🧠💾.
👉Memory Considerations: Higher resolution models require more memory 🧠💾.
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✨ Other things ✨ (Why is everyone using ✨ for AI? 🤨)
✨ Other things ✨ (Why is everyone using ✨ for AI? 🤨)
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🆒 Gemini Model Family:
🆒 Gemini Model Family:
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🌟 Gemini 1.5 Pro: 2m token support, quality improvements in translation, coding, reasoning.
🌟 Gemini 1.5 Pro: 2m token support, quality improvements in translation, coding, reasoning.
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⚡ Gemini Flash: Optimized for speed, 1m token capacity.
⚡ Gemini Flash: Optimized for speed, 1m token capacity.
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🚀 Gemini Ultra, Pro, Flash, Nano: Various performance and efficiency models.
🚀 Gemini Ultra, Pro, Flash, Nano: Various performance and efficiency models.
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💎 Gemini Gems: Custom GPTs.
💎 Gemini Gems: Custom GPTs.
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🎙️ Gemini Live (Project Astra): Two-way voice conversation.
🎙️ Gemini Live (Project Astra): Two-way voice conversation.
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📚 LearnLM: Models fine-tuned for learning.
📚 LearnLM: Models fine-tuned for learning.
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🆕Other Launches:
🆕Other Launches:
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🤖 Veo: DeepMind's answer to Sora.
🤖 Veo: DeepMind's answer to Sora.
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🖼️ Imagen 3: Improved photorealistic image generation.
🖼️ Imagen 3: Improved photorealistic image generation.
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🎵 Music AI Sandbox: YouTube x DeepMind collaboration.
🎵 Music AI Sandbox: YouTube x DeepMind collaboration.
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🔏 SynthID watermarking: Extends to text, images, audio, video.
🔏 SynthID watermarking: Extends to text, images, audio, video.
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⚙️ Trillium (TPUv6): New TPU.
⚙️ Trillium (TPUv6): New TPU.
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💲@Google Product Suite Integrations: Enhancements in Workspace, Email, Docs, Sheets, Photos, Search, Android, and Lens.
💲@Google Product Suite Integrations: Enhancements in Workspace, Email, Docs, Sheets, Photos, Search, Android, and Lens.
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https://huggingface.co/collections/google/gemma-release-65d5efbccdbb8c4202ec078b
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google/gemma-release-65d5efbccdbb8c4202ec078b
https://huggingface.co/collections/google/gemma-release-65d5efbccdbb8c4202ec078b
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https://huggingface.co/collections/google/paligemma-release-6643a9ffbf57de2ae0448dda
collection
google/paligemma-release-6643a9ffbf57de2ae0448dda
https://huggingface.co/collections/google/paligemma-release-6643a9ffbf57de2ae0448dda
After saying AI only 120 times, we have the next family of Gemma models!

🆓Gemma Model Family:
🦙 Gemma 2: 27B parameter model, comparable to Llama-3-70B.

👁️ PaliGemma: PaliGemma is a new vision-language model family from Google, combining SigLIP as an image encoder and Gemma-2B as a text decoder. 🌟🖼️📝

📽️Moren technical Details of PaliGemma:

👉Model Types: Pretrained (PT) 🏋️‍♂️, Mix (general-purpose) 🔄, and Fine-tuned (FT) 🎯.
👉Resolutions and Precisions: 224x224, 448x448, 896x896; bfloat16, float16, float32. 📏📐
👉Tasks: Image captioning 🏞️🖊️, visual question answering (VQA) ❓🤔, detection 🔍, referring expression segmentation ✂️, document understanding 📄.
👉Architecture: SigLIP-So400m for images 🖼️, Gemma-2B for text 📝.
👉Inference: Via PaliGemmaForConditionalGeneration class in transformers 🤖.
👉Fine-tuning: Available using both big_vision and transformers frameworks 🔧🛠️.
👉Memory Considerations: Higher resolution models require more memory 🧠💾.


✨ Other things ✨ (Why is everyone using ✨ for AI? 🤨)

🆒 Gemini Model Family:

🌟 Gemini 1.5 Pro: 2m token support, quality improvements in translation, coding, reasoning.
⚡ Gemini Flash: Optimized for speed, 1m token capacity.
🚀 Gemini Ultra, Pro, Flash, Nano: Various performance and efficiency models.
💎 Gemini Gems: Custom GPTs.
🎙️ Gemini Live (Project Astra): Two-way voice conversation.
📚 LearnLM: Models fine-tuned for learning.


🆕Other Launches:

🤖 Veo: DeepMind's answer to Sora.
🖼️ Imagen 3: Improved photorealistic image generation.
🎵 Music AI Sandbox: YouTube x DeepMind collaboration.
🔏 SynthID watermarking: Extends to text, images, audio, video.
⚙️ Trillium (TPUv6): New TPU.

💲@Google Product Suite Integrations: Enhancements in Workspace, Email, Docs, Sheets, Photos, Search, Android, and Lens.

https://huggingface.co/collections/google/gemma-release-65d5efbccdbb8c4202ec078b

https://huggingface.co/collections/google/paligemma-release-6643a9ffbf57de2ae0448dda
🚀
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