*cough* gemma3 270M *cough*
Summary
Google releases Gemma 3, a 270M parameter language model.
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Introducing Gemma 3
Google introduces Gemma 3, a collection of lightweight open models (1B, 4B, 12B, 27B) designed to run on single GPUs or TPUs, featuring support for 140+ languages, 128k context window, and multimodal capabilities. The models outperform larger competitors like Llama 3 and DeepSeek-V3 while maintaining efficiency for on-device deployment.
More Gemma 4 models incoming
Google announces that more Gemma 4 models are coming, potentially including a 120B parameter model.
google/gemma-4-26B-A4B-it
Google DeepMind releases Gemma 4, a family of open-weight multimodal models ranging from 2.3B to 31B parameters with support for text, image, video, and audio inputs. The models feature 256K context windows, MoE and dense architectures, enhanced reasoning capabilities, and are optimized for deployment across devices from mobile to servers.
Introducing Gemma 3 270M: The compact model for hyper-efficient AI
Google introduces Gemma 3 270M, a compact 270-million parameter model designed for efficient on-device AI with strong instruction-following capabilities and extreme energy efficiency (0.75% battery for 25 conversations on Pixel 9 Pro).
DiffusionGemma
Google released DiffusionGemma, an open-weight text generation model (26B parameters, 4B active) under Apache 2 license, demonstrating high inference speeds via NVIDIA's NIM cloud API.