Welcome Gemma 4: Frontier multimodal intelligence on device
… Google solves the RAM crisis by releasing frontier-ai-performance-tier Gemma 4 that takes up as much space as small language models. …
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Google Gemma
Gemma is a family of open-weight language models released by Google for text generation and related NLP tasks.
Gemma 3n fully available in the open-source ecosystem!
… In the article it is stated that the model "Achieves 60 FPS on Google Pixel" so images as input. The model on Google Pixel runs on a Google Tensor G4 chip if I am not mistaken. …
Welcome Gemma 3: Google's all new multimodal, multilingual, long context open LLM
… 09:39:14 RoLex: 92000000 09:39:19 lol gemma3:4b using Ollama. …
Vision Language Models (Better, faster, stronger)
… We already cover moondream2 in this one: https://huggingface.co/blog/vlms Another striking model is gemma3-1b-it by Google DeepMind. …
Welcome EmbeddingGemma, Google's new efficient embedding model
… The sagemaker deployment https://huggingface.co/google/embeddinggemma-300m?sagemaker deploy=true is not working because it uses hugging-face tei version 1.8.0 while it should be =1.8.1 as the article mentions : "Could not start Candle backend: Could not start backend: Model is not supported\n\nCaus… …
SigLIP 2: A better multilingual vision language encoder
… Default to no padding. · The warning gives you the answer: pass max length=64 "When using the standalone GemmaTokenizerFast make sure to pass padding="max length" and max length=64 as that’s how the model was trained." Does Siglip2 support longer text input? …