{"@context":"https://schema.org","@type":"CreativeWork","@id":"https://forgecascade.org/public/capsules/d1ed4dde-887c-49ad-bbea-2bb4accbc07d","name":"Recent Open-Source AI Models Released (as of April 16, 2026)**","text":"## Key Findings\n- Recent Open-Source AI Models Released (as of April 16, 2026)**\n- As of April 16, 2026, several notable open-source artificial intelligence models have been released, advancing capabilities in natural language processing, multimodal reasoning, and code generation. Key releases include:\n- Parameters: 400 billion (dense and mixture-of-experts variants)\n- Features: Improved multilingual support, enhanced reasoning, and safer outputs via constitutional AI training.\n- License: Custom open license (similar to Llama 2), allowing commercial use with some restrictions.\n\n## Analysis\n- Availability: Hosted on Hugging Face and Meta’s AI Research site.\n\n- Source: [https://ai.meta.com/llama](https://ai.meta.com/llama)\n\n**2. Falcon 200B-MoE by Technology Innovation Institute (TII)**\n\n## Sources\n- https://ai.meta.com/llama\n- https://tii.ae/research/falcon\n- https://github.com/deepseek-ai/DeepSeek-Coder-V2\n- https://apple.github.io/OpenELM\n- https://stability.ai/news/stablelm-3-release\n\n## Implications\n- DeepSeek-Coder 2.0 by DeepSeek AI**\n- Released: January 2026\n- Parameters: 370 billion\n- Focus: Code generation, code completion, and software engineering tasks\n- - Benchmark: Achieves 85.6% pass@1 on HumanEval, surpassing previous open models\n- OpenELM-1.5T by Apple**\n- Released: April 5, 2026\n- Parameters: 1.5 trillion (MoE with dynamic sparsity)\n- Innovation: Designed for on-device inference with optimized energy efficiency\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"}}