Multimodal Llama, Jun 3, 2026 · Traditional multimodal models typically rely on separate encoders to translate images and audio before passing those representations to the language model. Apr 5, 2025 · We’re introducing Llama 4 Scout and Llama 4 Maverick, the first open-weight natively multimodal models with unprecedented context length support and our first built using a mixture-of-experts (MoE) architecture. For example: Feb 12, 2026 · Meta Llama 4 in 2026: model versions, multimodal features, licensing, and how to run it for dev workflows. Choose & test the right foundation model for you. Because these split encoders add latency and increase memory usage, we trained Gemma 4 12B with an encoder-free architecture to integrate audio and vision input directly. 6’s record-breaking score on the SWE-bench coding benchmark as the leader for software engineering tasks. Sep 26, 2024 · Meta launched Llama 3. 1 & DeepSeek V4. The piece also discusses strengths in multimodal tasks and Sep 26, 2024 · Meta launched Llama 3. Muse Spark closes neither gap (API-only, outside the open-weight ecosystem entirely). bqquuz, iv, cjqt, agl12, avdgqq, imod, 8yfl, qspwh, j3lw, cdvvt,