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
-
ATH-MaaS/Marco-Nano-Base
Text Generation • 8B • Updated • 95 • 16 -
ATH-MaaS/Marco-Mini-Base
Text Generation • 17B • Updated • 74 • 9 -
ATH-MaaS/Marco-Mini-Global-Base
Text Generation • 17B • Updated • 665 • 8 -
ATH-MaaS/Marco-Nano-Instruct
Text Generation • 8B • Updated • 624 • 42
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 • 322 • 34 -
ATH-MaaS/Marco-DeepResearch-8B-GGUF
Text Generation • 8B • Updated • 9.83k • 5 -
ATH-MaaS/Marco-DeepResearch-8B-i1-GGUF
Text Generation • 8B • Updated • 23.5k • 5 -
ATH-MaaS/Marco-DeepResearch-8B-FP8
Text Generation • 8B • Updated • 12
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/Ovis1.6-Gemma2-27B
Image-Text-to-Text • 29B • Updated • 30 • 62 -
ATH-MaaS/Ovis1.6-Gemma2-9B
Image-Text-to-Text • 10B • Updated • 49k • 273 -
ATH-MaaS/Ovis1.6-Gemma2-9B-GPTQ-Int4
Image-Text-to-Text • Updated • 25 • 9 -
ATH-MaaS/Ovis1.6-Llama3.2-3B
Image-Text-to-Text • 4B • Updated • 61.8k • 49
-
ATH-MaaS/Marco-DeepResearch-8B
Text Generation • 8B • Updated • 322 • 34 -
ATH-MaaS/Marco-DeepResearch-8B-GGUF
Text Generation • 8B • Updated • 9.83k • 5 -
ATH-MaaS/Marco-DeepResearch-8B-i1-GGUF
Text Generation • 8B • Updated • 23.5k • 5 -
ATH-MaaS/Marco-DeepResearch-8B-FP8
Text Generation • 8B • Updated • 12
A suit of multilingual MoE models with highly-sparse architectures
-
ATH-MaaS/Marco-Nano-Base
Text Generation • 8B • Updated • 95 • 16 -
ATH-MaaS/Marco-Mini-Base
Text Generation • 17B • Updated • 74 • 9 -
ATH-MaaS/Marco-Mini-Global-Base
Text Generation • 17B • Updated • 665 • 8 -
ATH-MaaS/Marco-Nano-Instruct
Text Generation • 8B • Updated • 624 • 42
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.
-
ATH-MaaS/Ovis1.6-Gemma2-27B
Image-Text-to-Text • 29B • Updated • 30 • 62 -
ATH-MaaS/Ovis1.6-Gemma2-9B
Image-Text-to-Text • 10B • Updated • 49k • 273 -
ATH-MaaS/Ovis1.6-Gemma2-9B-GPTQ-Int4
Image-Text-to-Text • Updated • 25 • 9 -
ATH-MaaS/Ovis1.6-Llama3.2-3B
Image-Text-to-Text • 4B • Updated • 61.8k • 49
Ovis1.5 is fully open-source: we release training datasets, training & inference codes, and model weights.