Hunyuan OCR is an end-to-end OCR expert VLM model driven by the Hunyuan native multimodal architecture. With a lightweight design of only 1 billion parameters, it has achieved state-of-the-art results in multiple industry benchmark tests. This model excels in handling complex multilingual document parsing and performs well in practical application scenarios such as text localization, open-domain information extraction, video subtitle extraction, and image translation.

MultimodalTransformersMultiple Languages

BR-RM is an innovative two-round reasoning reward model that solves the 'judgment diffusion' problem in traditional reward models through adaptive branching and branch-based reflection mechanisms, achieving industry-leading performance in multiple reward modeling benchmark tests.

Natural Language ProcessingTransformersEnglish

Step-Audio 2 is an end-to-end multimodal large language model designed to meet the industry-level audio understanding and voice dialogue needs. It has advanced voice and audio understanding capabilities, intelligent voice dialogue functions, tool invocation, and multimodal retrieval enhanced generation capabilities, and has achieved leading performance in multiple audio understanding and dialogue benchmark tests.

MultimodalTransformers

GLM-4.5 is a foundation model designed for intelligent agents, integrating inference, coding, and intelligent agent capabilities. It has a total of 355 billion parameters and ranks 3rd in 12 industry-standard benchmark evaluations, scoring 63.2. It uses the MIT open-source license and can be used for commercial purposes and secondary development.

Natural Language ProcessingTransformersMultiple Languages

AQUA-7B is the first large language model specifically designed for the aquaculture industry, providing professional insights and solutions.

Natural Language ProcessingTransformersEnglish

Gemma 3n is a lightweight, state-of-the-art open-source multimodal model launched by Google. It adopts a novel architecture with fewer effective parameters, supports text, image, and audio input, and is suitable for environments with limited resources, which can contribute to content understanding and innovation in various industries.

V-JEPA 2 is a cutting-edge video understanding model developed by the FAIR team under Meta. It extends the pre-training objectives of VJEPA and has industry-leading video understanding capabilities.

Computer VisionTransformers

InternVL3 - 78B - Instruct is an advanced multimodal large language model that performs excellently in multimodal perception, reasoning, and language processing. Through the native multimodal pre - training method, this model integrates visual and language learning into a unified training stage and demonstrates outstanding capabilities in multiple fields such as tool use, GUI agents, industrial image analysis, and 3D visual perception.

MultimodalTransformersOther

InternVL3-2B-Instruct is an advanced multimodal large language model. Compared with its predecessors, it has better multimodal perception and reasoning capabilities, and has expanded in aspects such as tool usage, GUI agents, industrial image analysis, and 3D visual perception. It adopts a native multimodal pre-training method, integrating language and visual learning into a single pre-training stage.

MultimodalTransformersOther

InternVL3-14B-Instruct is an advanced Multimodal Large Language Model (MLLM) that demonstrates exceptional multimodal perception and reasoning capabilities, supporting various tasks such as tool usage, GUI agents, industrial image analysis, and 3D visual perception.

MultimodalTransformersmultilingual

InternVL3-78B is an advanced multimodal large language model with excellent multimodal perception and reasoning capabilities. It performs outstandingly in fields such as tool use, GUI agents, industrial image analysis, and 3D visual perception, and also has very good overall text performance.

MultimodalTransformersOther

InternVL3-14B is an advanced multimodal large language model that significantly improves multimodal perception and reasoning capabilities on the basis of InternVL 2.5 and expands applications in areas such as tool use, GUI agents, industrial image analysis, and 3D visual perception.

MultimodalTransformersOther

The first foundational large model in the mental health industry launched by Cylingo Group, built upon the powerful capabilities of Qwen3-14B and deeply fine-tuned with millions of multi-scenario data points in the mental health domain.

Natural Language ProcessingTransformersMultiple Languages

An instruction fine-tuned model optimized based on the Mistral architecture, suitable for zero-shot classification tasks

Natural Language ProcessingGguf

HiDream-I1 is an open-source image generation foundation model with 17 billion parameters, capable of generating industry-leading images in seconds.

Computer VisionDiffusersEnglish

InternVL3-38B is an advanced multimodal large language model (MLLM) with significant improvements in multimodal perception and reasoning abilities, supporting areas such as tool use, GUI agents, industrial image analysis, and 3D visual perception.

MultimodalTransformersOther

InternVL3-9B is a multimodal large language model from the InternVL3 series, featuring exceptional multimodal perception and reasoning capabilities. It supports various application scenarios such as tool usage, GUI agents, industrial image analysis, and 3D visual perception.

MultimodalTransformersOther

InternVL3-8B is an advanced multimodal large language model developed by OpenGVLab, featuring powerful multimodal perception and reasoning capabilities, supporting tool calling, GUI agents, industrial image analysis, 3D visual perception, and other emerging fields.

MultimodalTransformersOther

InternVL3-2B is an advanced Multimodal Large Language Model (MLLM) developed by OpenGVLab, featuring exceptional multimodal perception and reasoning capabilities, supporting tool usage, GUI agents, industrial image analysis, 3D visual perception, and more.

MultimodalTransformersOther

InternVL3-78B is an advanced multimodal large language model developed by OpenGVLab, demonstrating exceptional comprehensive performance. Compared to its predecessor InternVL 2.5, it possesses stronger multimodal perception and reasoning capabilities, extending its abilities to new domains such as tool usage, GUI agents, industrial image analysis, and 3D visual perception.

MultimodalTransformersOther