Running
on
Zero
5
Marco MT Algharb
π
wmt25-generalMT-winner-model
None defined yet.
DeepWideSearch: Benchmarking Depth and Width in Agentic Information Seeking
HSCodeComp: A Realistic and Expert-level Benchmark for Deep Search Agents in Hierarchical Rule Application
wmt25-generalMT-winner-model
Lightweight vision for efficient deployment
High-accuracy vision & reasoning for complex tasks
Stays powerful, with much lighter VRAM usage
Demo for multimodal understanding and generation
The demo for CHATS-SDXL text-to-image generation model
See, read, and reasonβbetter together.
Small model can do big things.
Ovis2-8B
Ovis2-4B
Ovis2-2B
Interact with a chatbot that understands text and images
Generate images from text prompts
Ovis1.6-Llama3.2-3B