AI Tool Profile
Llama
Meta introduced the Llama 4 herd with Scout and Maverick as open-weight natively multimodal mixture-of-experts models, plus a Behemoth preview.
Verification & Sources
- Status
- Verified profile
- Source links
- 1
- Freshness
- Verified June 8, 2026
- Last verified
- June 8, 2026
- Last updated
- June 7, 2026
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What It Does
Meta introduced the Llama 4 herd with Scout and Maverick as open-weight natively multimodal mixture-of-experts models, plus a Behemoth preview.
Tool Links
Launch History
The Llama 4 herd
Meta introduced the Llama 4 herd with Scout and Maverick as open-weight natively multimodal mixture-of-experts models, plus a Behemoth preview.
- Kingy
- Unscored
- Demo
- Unscored
- YouTube
- Unscored
Important for the hub because Llama 4 reset Meta's open-model direction around multimodal MoE models.
Llama 3.2 vision and edge models
Meta released Llama 3.2 with 11B and 90B vision models plus lightweight 1B and 3B text models for edge and mobile devices.
- Kingy
- Unscored
- Demo
- Unscored
- YouTube
- Unscored
A high-value open-model record for builders watching local and multimodal deployment.
Introducing Llama 3.1
Meta launched Llama 3.1 including the 405B open-weight frontier model, upgraded 8B and 70B models, 128K context, multilingual support, and tool use.
- Kingy
- Unscored
- Demo
- Unscored
- YouTube
- Unscored
Essential for the hub because Llama 3.1 was a serious open alternative to closed frontier models.
Introducing Meta Llama 3
Meta released Llama 3 with 8B and 70B pretrained and instruction-tuned language models, plus safety tools for developers.
- Kingy
- Unscored
- Demo
- Unscored
- YouTube
- Unscored
Foundational open-weight record because Llama 3 became a default option for developers wanting capable deployable models.
