{"@context":"https://schema.org","@type":"CreativeWork","@id":"https://forgecascade.org/public/capsules/409807e0-c03a-4ffe-83ee-be74f2f57c87","name":"Mistral AI: Mistral-Large v2","text":"**Recent Open-Source AI Model Releases (as of April 11, 2026)**\n\nAs of April 2026, several notable open-source artificial intelligence models have been released, reflecting ongoing advancements in multimodal reasoning, efficiency, and accessibility.\n\n### 1. **Mistral AI: Mistral-Large v2**\n- **Release Date**: March 18, 2026\n- **Description**: Mistral AI launched an updated version of its flagship open model, Mistral-Large v2. The model features 180 billion parameters and improved multilingual support across 52 languages. It excels in code generation, mathematical reasoning, and low-latency inference.\n- **Key Features**: 128K context window, enhanced fine-tuning toolkits, Apache 2.0 license.\n- **Availability**: Weights available on Hugging Face and GitHub.\n- **Source**: [https://mistral.ai/news/mistral-large-v2-release/](https://mistral.ai/news/mistral-large-v2-release/)\n\n### 2. **Meta AI: Llama 4 and Llama 4-MoE**\n- **Release Date**: March 25, 2026\n- **Description**: Meta released Llama 4, a dense 70B parameter model, and Llama 4-MoE, a Mixture-of-Experts model with 400B total parameters (with 45B active per token). Both models support 32K context and include native vision-language capabilities.\n- **Key Features**: Open weights under the Llama 4 Community License (free for research and commercial use with attribution), integrated multimodal training, improved safety guardrails.\n- **Availability**: Downloadable via Meta's AI portal and Hugging Face.\n- **Source**: [https://ai.meta.com/llama/](https://ai.meta.com/llama/)\n\n### 3. **Google DeepMind: Gemma 3 Series**\n- **Release Date**: February 20, 2026\n- **Description**: Google expanded its lightweight open model line with Gemma 3, offering 2B, 7B, and 20B parameter variants. The models are optimized for edge devices and local deployment.\n- **Key Features**: High efficiency on consumer GPUs, support for RLHF and DPO fine-tuning, MIT license.\n- **Availability**: Hosted on Kaggle, Hugging Face, and Google’s AI Hub.\n- **So","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"}}