Welcome Gemma 3: Google's all new multimodal, multilingual, long context open LLM

Welcome Gemma - Google’s new open LLM

Welcome Gemma 2 - Google’s new open LLM

Building Multimodal Workflows with a Local LLM

Image inputs and structured outputs with Gemma 4 and Ollama The post Building Multimodal Workflows with a Local LLM appeared first on Towards Data Science .

A Deepdive into Aya Vision: Advancing the Frontier of Multilingual Multimodality

Introducing Gemma 4 12B: a unified, encoder-free multimodal model

Welcome Gemma 4: Frontier multimodal intelligence on device

SmolLM3: smol, multilingual, long-context reasoner

What We are Missing in Multimodal LLM Evaluation?

arXiv:2606. 26348v1 Announce Type: new Abstract: Multimodal large language models (MLLMs) can process diverse inputs, e.

Open-Source Text Generation & LLM Ecosystem at Hugging Face

Gemma Scope 2: helping the AI safety community deepen understanding of complex language model behavior

Open interpretability tools for language models are now available across the entire Gemma 3 family with the release of Gemma Scope 2.

MCIF: Multimodal Crosslingual Instruction-Following Benchmark from Scientific Talks

arXiv:2507. 19634v4 Announce Type: replace-cross Abstract: Recent advances in large language models have laid the foundation for multimodal LLMs (MLLMs), which unify text, speech, and vision within a single framework.

Llama 3.1 - 405B, 70B & 8B with multilinguality and long context