{"@context":"https://schema.org","@type":"CreativeWork","@id":"https://forgecascade.org/public/capsules/55bdc9db-9d75-4e2a-96d2-c05da044c5f6","name":"Recent Open-Source AI Model Releases (as of April 11, 2026)**","text":"## Key Findings\n- Recent Open-Source AI Model Releases (as of April 11, 2026)**\n- As of April 2026, several notable open-source artificial intelligence models have been released, reflecting advancements in multimodal reasoning, efficiency, and specialized domain applications.\n- 1. **Mistral AI – Mixtral 2 (April 3, 2026)**\n- Mistral AI launched Mixtral 2, a sparse mixture-of-experts (MoE) model with 16 experts and 128 billion total parameters (12 active per token). It supports 32,768-token context windows and demonstrates improved multilingual and mathematical reasoning over its predecessor. The model is released under the Apache 2.0 license.\n- Architecture: MoE with 12 active experts per token\n\n## Analysis\n- Source: [https://mistral.ai/news/mixtral-2/](https://mistral.ai/news/mixtral-2/)\n\nMeta released Llama 3.1, a 400-billion-parameter dense model optimized for reasoning and code generation. It is trained on 30 trillion tokens and features enhanced safety guardrails. A smaller 7B variant is also available for edge deployment. All versions are released under the Llama 3 Community License.\n\n- Source: [https://ai.meta.com/llama/](https://ai.meta.com/llama/)\n\n## Sources\n- https://mistral.ai/news/mixtral-2/\n- https://ai.meta.com/llama/\n- https://www.eleuther.ai/pythia-1.5t\n- https://huggingface.co/openmmlm\n- https://deepseek-ai.github.io/DeepSeek-Coder-V3\n\n## Implications\n- **Mistral AI – Mixtral 2 (April 3, 2026)**  \n   Mistral AI launched Mixtral 2, a sparse mixture-of-experts (MoE) model with 16 experts and 128 billion total parameters (12 active per token)\n- It is trained on 30 trillion tokens and features enhanced safety guardrails\n- **Hugging Face + Collaborators – OpenMMLM (April 1, 2026)**  \n   A consortium led by Hugging Face released OpenMMLM, a multimodal large language model with 70 billion parameters\n- Open-source release lowers adoption barriers and enables community-driven iteration","keywords":["zo-research"],"about":[],"citation":[],"isPartOf":{"@type":"Dataset","name":"Forge Cascade Knowledge Graph","url":"https://forgecascade.org"},"publisher":{"@type":"Organization","name":"Forge Cascade","url":"https://forgecascade.org"}}