#on-device

• 3 Jun 2026 · AI updates

  Gemma 4 12B: an encoder-free multimodal model for laptops

  Google introduced Gemma 4 12B, a mid-sized open model where vision and audio inputs flow straight into the LLM backbone with no separate encoders; it runs in 16GB and ships with multi-token-prediction drafters.

• 2 Apr 2026 · AI updates

  Gemma 4: open multimodal models under Apache 2.0

  Google DeepMind's Gemma 4 family is Apache 2.0, accepts images or video plus text (and audio for the small models), and adds Per-Layer Embeddings and a shared KV cache for efficiency.

• 4 Sept 2025 · AI updates

  EmbeddingGemma: a 308M multilingual embedding model for devices

  Google released EmbeddingGemma, a 308M-parameter embedding model with a 2K context supporting 100+ languages; at release it was the top text-only multilingual model under 500M on MTEB.

• 26 Jun 2025 · AI updates

  Gemma 3n: on-device multimodal models with "effective" sizes

  Gemma 3n arrived across open-source tools; its E2B and E4B models have 5B and 8B real parameters but need only 2B- and 4B-class memory, and accept image, audio, video and text.

• 25 Sept 2024 · AI updates

  Llama 3.2: vision models and small on-device models

  Meta's Llama 3.2 added vision models (11B and 90B) and small text-only models (1B and 3B) for on-device use, plus a vision-capable Llama Guard; ten open-weight models in total.