RITS

Tag: gemma

  • Google’s EmbeddingGemma 2 Puts Multimodal Search on the Device

    Google’s EmbeddingGemma 2 Puts Multimodal Search on the Device

    Lead — On October 6, 2026, Google DeepMind released EmbeddingGemma 2, a 740-million-parameter open model that maps text, code, images, video, and audio into a single shared 768-dimensional vector space. Built on the Gemma 4 architecture and shipped under the commercially permissive Apache 2.0 license, it is designed to run on phones and laptops rather […]

  • Thesys Releases OUI-1, a Diffusion Model That Writes UI Screens

    Thesys Releases OUI-1, a Diffusion Model That Writes UI Screens

    Lead — On September 8, 2026, Thesys released OUI-1, a fine-tune of Google’s DiffusionGemma 26B-A4B that does one narrow thing: it writes user-interface screens in openui-lang, the declarative language behind the MIT-licensed OpenUI project. The model scores 71.7% on the Generative UI Benchmark against 13.0% for its base checkpoint — a 5.5x improvement — while […]

  • Google Ships Gemma 4 QAT Models: 72% Less VRAM, Same Quality

    Google Ships Gemma 4 QAT Models: 72% Less VRAM, Same Quality

    Lead — On June 5, 2026, Google DeepMind released quantization-aware training (QAT) checkpoints for the entire Gemma 4 family, cutting memory requirements by roughly 72% while keeping output quality nearly identical to the full-precision models. The release spans every size — from the sub-1 GB E2B edge model to the 31B dense flagship — and […]

  • Google Releases Gemma 4 12B: Frontier Multimodal AI on a Laptop

    Google Releases Gemma 4 12B: Frontier Multimodal AI on a Laptop

    Lead — On June 3, 2026, Google DeepMind released Gemma 4 12B, a unified, encoder-free multimodal model that brings frontier-class intelligence to a single 16 GB laptop. The 11.95-billion-parameter model handles text, images, and audio in one decoder-only transformer, supports a 256K-token context across 140+ languages, and ships under a fully permissive Apache 2.0 license. Google […]

  • Gemma 4 Gets Multi-Token Prediction Drafters: 3x Faster Inference, Same Outputs

    Gemma 4 Gets Multi-Token Prediction Drafters: 3x Faster Inference, Same Outputs

    Lead — On May 5, 2026, Google released Multi-Token Prediction (MTP) drafters for the Gemma 4 family of open models. The drafters use speculative decoding to deliver up to a 3x speedup in inference latency without changing model outputs, and they ship under the same Apache 2.0 license as the underlying models. Advanced Key points […]

  • Google Releases Gemma 4: Frontier Open Models Under Apache 2.0

    Google Releases Gemma 4: Frontier Open Models Under Apache 2.0

    On April 2, 2026, Google DeepMind released Gemma 4 — its most capable open model family to date, purpose-built for advanced reasoning and agentic workflows. Available under a fully permissive Apache 2.0 license, Gemma 4 delivers frontier-class multimodal intelligence across four model sizes, from edge devices to high-performance workstations. Intermediate Key points On April 2, […]

  • Unveiling T5Gemma: Google’s New Encoder–Decoder Gemma Models

    Title In a move to reinvigorate the classic encoder–decoder framework, Google has introduced T5Gemma, a family of encoder–decoder large language models (LLMs) built atop its powerful Gemma 2 architecture. Published on July 9, 2025, this offering rekindles interest in encoder–decoder systems—long favored for their superior handling of tasks like translation, summarization, and QA—bringing fresh innovations […]