LLM Models · inclusionAI
Browse the world's large language models. Compare parameters, benchmarks, VRAM and more.
UI-Venus-1.5 model This repository contains the UI-Venus model from the report UI-Venus-1.5 Technical Report. UI-Venus 1.5 is a unified, end-to-end GUI Agent designed for robust real-world applications. The model family includes two dense (2B/8B) and one MoE (30B-A3B) variants to…
🚀 LLaDA2.1-flash is now live on ZenmuxAI ! Try it via API 🛠️ or Chat 💬: https://zenmux.ai/inclusionai/llada2.1-flash
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Bringing Block-wise Diffusion to Vision-Language GUI Agents
SingGuard-NSFA: Extensible Guardrails for Agentic AI via Generative Reasoning and Real-Time Classification
LLaDA2.2-flash is an agent-oriented diffusion language model in the LLaDA2 series. By introducing Levenshtein Editing (with DELETE and INSERT control tokens) to diffusion language modeling, it represents the LLaDA2 series' first step in agentic applications, including long-contex…
LLaDA2.0-flash is a diffusion language model featuring a 100BA6B Mixture-of-Experts (MoE) architecture. As an enhanced, instruction-tuned iteration of the LLaDA2.0 series, it is optimized for practical applications.
VISTA-9B are GUI-grounding vision-language models trained from Qwen3.5 9B backbones with VISTA: View-Consistent Self-Verified Training for GUI Grounding .
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This model is based on the principles described in the paper Large Language Diffusion Models.