On the edge, our E2B and E4B fashions redefine on-device utility, prioritizing multimodal capabilities, low-latency processing and seamless ecosystem integration over uncooked parameter rely.
Highly effective, accessible, open
To energy the following technology of pioneering analysis and merchandise, we have sized the Gemma 4 fashions particularly to run and fine-tune effectively on {hardware} — from billions of Android gadgets worldwide, to laptop computer GPUs, all the best way as much as developer workstations and accelerators.
Through the use of these extremely optimized fashions, you’ll be able to fine-tune Gemma 4 to attain state-of-the-art efficiency in your particular duties. We have already seen unbelievable success with this method; for example, INSAIT created a pioneering Bulgarian-first language mannequin (BgGPT), and we labored with Yale College on Cell2Sentence-Scale to find new pathways for most cancers remedy, amongst many others.
Here’s what makes Gemma 4 our most succesful open mannequin household but:
- Superior reasoning: Able to multi-step planning and deep logic, Gemma 4 demonstrates vital enhancements in math and instruction-following benchmarks that require it.
- Agentic workflows: Native help for function-calling, structured JSON output, and native system directions lets you construct autonomous brokers that may work together with completely different instruments and APIs and execute workflows reliably.
- Code technology: Gemma 4 helps high-quality offline code, turning your workstation right into a local-first AI code assistant.
- Imaginative and prescient and audio: All fashions natively course of video and pictures, supporting variable resolutions, and excelling at visible duties like OCR and chart understanding. Moreover, the E2B and E4B fashions characteristic native audio enter for speech recognition and understanding.
- Longer context: Course of long-form content material seamlessly. The sting fashions characteristic a 128K context window, whereas the bigger fashions supply as much as 256K, permitting you to cross repositories or lengthy paperwork in a single immediate.
- 140+ languages: Natively skilled on over 140 languages, Gemma 4 helps builders construct inclusive, high-performance functions for a worldwide viewers.
Versatile fashions for numerous {hardware}
We’re releasing the Gemma 4 mannequin weights in sizes tailor-made for particular {hardware} and use instances, making certain you get frontier-class reasoning wherever you want it:
26B and 31B fashions: Frontier intelligence, offline in your private computer systems
Optimized to offer researchers and builders with state-of-the-art reasoning on accessible {hardware}, our unquantized bfloat16 weights match effectively on a single 80GB NVIDIA H100 GPU. For native setups, quantized variations run natively on shopper GPUs to energy your IDEs, coding assistants and agentic workflows. Our 26B Combination of Consultants (MoE) deal with latency, activating solely 3.8 billion of its whole parameters throughout inference to ship exceptionally quick tokens-per-second, whereas our 31B Dense is maximizing uncooked high quality and offers a robust basis for fine-tuning.
