ronnywebdevs1/model-3551-15b-multi-2

The Qwen3.5-27B model, developed by Qwen, is a 27 billion parameter causal language model with a vision encoder, supporting a native context length of 262,144 tokens and extensible up to 1,010,000 tokens. It features a unified vision-language foundation, an efficient hybrid architecture with Gated Delta Networks and sparse Mixture-of-Experts, and scalable reinforcement learning for robust real-world adaptability. This model excels in multimodal reasoning, coding, agentic tasks, and visual understanding, with expanded support for 201 languages and dialects.