AI & ML interests
None defined yet.
Recent Activity
Papers
UMEM: Unified Memory Extraction and Management Framework for Generalizable Memory
Table-as-Search: Formulate Long-Horizon Agentic Information Seeking as Table Completion
A suit of multilingual MoE models with highly-sparse architectures
Ovis-Image is a 7B text-to-image model specifically optimized for high-quality text rendering under stringent computational constraints.
Our next-generation MLLMs for native-resolution vision and advanced reasoning
Our latest advancement in multi-modal large language models (MLLMs)
Ovis1.5 is fully open-source: we release training datasets, training & inference codes, and model weights.
-
ATH-MaaS/Marco-DeepResearch-8B
Text Generation • 8B • Updated • 132 • 32 -
ATH-MaaS/Marco-DeepResearch-8B-GGUF
Text Generation • 8B • Updated • 500 • 4 -
ATH-MaaS/Marco-DeepResearch-8B-i1-GGUF
Text Generation • 8B • Updated • 659 • 4 -
ATH-MaaS/Marco-DeepResearch-8B-FP8
Text Generation • 8B • Updated • 10
Our advanced models and datasets for exploring the frontiers of MT
An unified model for multimodal understanding, text-to-image generation, and image editing.
With 29B parameters, Ovis1.6-Gemma2-27B achieves exceptional performance in the OpenCompass benchmark, ranking among the top-tier open-source MLLMs.
-
ATH-MaaS/Marco-DeepResearch-8B
Text Generation • 8B • Updated • 132 • 32 -
ATH-MaaS/Marco-DeepResearch-8B-GGUF
Text Generation • 8B • Updated • 500 • 4 -
ATH-MaaS/Marco-DeepResearch-8B-i1-GGUF
Text Generation • 8B • Updated • 659 • 4 -
ATH-MaaS/Marco-DeepResearch-8B-FP8
Text Generation • 8B • Updated • 10
A suit of multilingual MoE models with highly-sparse architectures
Ovis-Image is a 7B text-to-image model specifically optimized for high-quality text rendering under stringent computational constraints.
Our advanced models and datasets for exploring the frontiers of MT
Our next-generation MLLMs for native-resolution vision and advanced reasoning
An unified model for multimodal understanding, text-to-image generation, and image editing.
Our latest advancement in multi-modal large language models (MLLMs)
With 29B parameters, Ovis1.6-Gemma2-27B achieves exceptional performance in the OpenCompass benchmark, ranking among the top-tier open-source MLLMs.
Ovis1.5 is fully open-source: we release training datasets, training & inference codes, and model weights.