LLM Models · inclusionAI
Browse the world's large language models. Compare parameters, benchmarks, VRAM and more.
🤗 Hugging Face      🤖 ModelScope      🐙 Experience Now
UI-Venus-2 is a general-purpose foundation GUI agent designed to operate across mobile applications, web platforms, and desktop operating systems through a unified closed-loop reasoning–action framework: the agent observes the current interface, reasons about the task state, exec…
🤗 Hugging Face 🤖 ModelScope 🐙 ling.tbox.cn Tech Report
🤗 Hugging Face 🤖 ModelScope 🐙 Experience Link Coming Soon~
Ling is a MoE LLM provided and open-sourced by InclusionAI. We introduce two different sizes, which are Ling-lite and Ling-plus. Ling-lite has 16.8 billion parameters with 2.75 billion activated parameters, while Ling-plus has 290 billion parameters with 28.8 billion activated pa…
--- license: mit pipeline tag: text-generation library name: transformers ---
🤗 Hugging Face      🤖 ModelScope
Ling is a MoE LLM provided and open-sourced by InclusionAI. We introduce two different sizes, which are Ling-Lite and Ling-Plus. Ling-Lite has 16.8 billion parameters with 2.75 billion activated parameters, while Ling-Plus has 290 billion parameters with 28.8 billion activated pa…
GroveMoE-Inst 🤗 Models       📑 Paper       🔗 Github   
🤗 Hugging Face 🤖 ModelScope 🐙 OpenRouter Tech Report
LLaDA2.0-mini-preview is a diffusion language model featuring a 16BA1B Mixture-of-Experts (MoE) architecture. As an enhanced, instruction-tuned iteration of the LLaDA series, it is optimized for practical applications.
LLaDA2.2-mini is the lightweight variant of the agentic diffusion language model in the LLaDA2 series. Built upon the LLaDA2.0-mini architecture, it inherits the core innovations of the LLaDA2.2 series — Levenshtein Editing (introducing DELETE and INSERT control tokens) — enablin…