Llama 4 Maverick 17B 128E Instruct FP8 Model Information Built with Llama Validated on: RHOAI 2.20, RHAIIS 3.0, RHELAI 1.5 The Llama 4 collection of models are natively multimodal AI models that enable text and multimodal experiences. These models leverage a mixture of experts architecture to offer industry leading performance in text and image understanding. These Llama 4 models mark the beginning of a new era for the Llama ecosystem. We are launching two efficient models in the Llama 4 series, Llama 4 Scout, a 17 billion parameter model with 16 experts, and Llama 4 Maverick, a 17 billion parameter model with 128 experts. Model developer : Meta Model Architecture: The Llama 4 models are auto regressive language models that use a mixture of experts (MoE) architecture and incorporate early fusion for native multimodality. Model Name Training Data Params Input modalities Output modalities Context length Token count Knowledge cutoff Llama 4 Scout (17Bx16E) A mix of publicly available, licensed data and information from Meta's products and services. This includes publicly shared posts from Instagram and Facebook and people's interactions with Meta AI. Learn more in our Privacy Center .…
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