The MiMo Embodied Model (MiMo-Embodied) is a powerful cross-embodied vision-language model that has demonstrated excellent performance in both autonomous driving and embodied AI tasks. It is the first open-source vision-language model that combines these two key domains, significantly enhancing the understanding and reasoning abilities in dynamic physical environments.

MultimodalTransformers

Olmo 3 is an open-source language model series developed by the Allen Institute for AI, available in two specifications: 7B and 32B, with two variants: Instruction and Think. This model has excellent long-chain thinking ability and can significantly improve performance in reasoning tasks such as mathematics and coding.

Natural Language ProcessingTransformersEnglish

Kimi K2 Thinking is the latest generation of open-source thinking model developed by Moonshot AI. It has powerful deep reasoning ability and tool call function. The model adopts a mixture-of-experts architecture, supports native INT4 quantization, has a 256k context window, and performs excellently in multiple benchmark tests.

Natural Language ProcessingTransformers

SDXL-Deepfake-Detector is a tool for accurately detecting AI-generated faces. It focuses on maintaining the authenticity of the digital world and provides a privacy-protected and open-source solution to combat visual misinformation. This model achieves lightweight and highly accurate detection through fine-tuning a pre-trained model.

Computer VisionSafetensors

JanusCoder-14B is an open-source foundation model with 14B parameters built on Qwen3-14B, aiming to establish a unified visual programming interface for code intelligence. This model is trained on the JANUSCODE-800K multimodal code corpus and can handle various visual programming tasks in a unified manner.

Natural Language ProcessingTransformers

JanusCoder-8B is an open-source code intelligence foundation model built on Qwen3-8B, aiming to establish a unified visual programming interface. This model is trained on JANUSCODE-800K (the largest multimodal code corpus to date) and can handle various visual programming tasks, including data visualization, interactive web UI, and code-driven animation.

MultimodalTransformers

Svara-TTS is an open-source multilingual text-to-speech model for Indian languages, supporting 19 languages (18 Indian languages + Indian English). This model is built based on the Orpheus-style discrete audio token method, aiming to achieve clear, expressive, and low-latency speech synthesis on ordinary GPUs/CPUs.

Audio ProcessingTransformersMultiple Languages

Bee-8B is an advanced fully open-source multimodal large language model that focuses on data quality and aims to narrow the performance gap with proprietary models. By using the high-quality Honey-Data-15M corpus and the advanced data processing pipeline HoneyPipe, it demonstrates excellent performance in complex reasoning and other aspects.

MultimodalTransformersEnglish

Granite-4.0-Micro is a long-context instruction model developed by IBM with 3 billion parameters, fine-tuned from Granite-4.0-Micro-Base. This model uses an open-source instruction dataset and an internal synthetic dataset, and has enhanced instruction-following and tool invocation capabilities. It supports multilingual tasks and can serve as a base model for AI assistants in various fields.

Natural Language ProcessingTransformers

GA Guard Lite is a lightweight open-source moderation model developed by General Analysis, specifically designed to detect prohibited content in the outputs of language models. This model can identify seven categories of security risks, including illegal activities, hate speech, and personal information leakage, providing efficient content security protection for AI applications.

Natural Language ProcessingTransformersEnglish

GA Guard Core is an open-source moderation model developed by General Analysis, specifically designed to detect and classify seven categories of违规内容, including illegal activities, hate speech, and personal information leakage, to ensure the security and compliance of AI applications.

Natural Language ProcessingTransformersEnglish

GLM-4.5-Air is a foundation model for agents launched by Zhipu AI. It adopts a compact design, unifying reasoning, coding, and agent capabilities to meet the complex requirements of agent applications. The model has a moderate number of parameters and superior efficiency. Multiple versions have been open-sourced and can be used for commercial purposes and secondary development.

Natural Language ProcessingTransformersMultiple Languages

Gemma-3 ActuaryEnough2 is an AI model specifically designed for the actuarial field. It is fine-tuned based on over 11,000 actuarial Q&A pairs and can transform simple insurance questions into rigorous actuarial professional language. This model supports ActuaryEnough and is released in an open-source form for education and research purposes.

Natural Language ProcessingTransformersEnglish

TildeOpen LLM is an open-source foundational language model specifically designed to serve underrepresented Nordic and Eastern European languages. Funded by the European Commission and trained on the LUMI supercomputer, this model has 30 billion parameters and addresses the performance gap faced by users of 19 key languages in existing AI systems.

Natural Language ProcessingTransformersMultiple Languages

GLM-4.1V-9B-Thinking is an open-source model developed based on the Vision-Language Model (VLM), aiming to explore the upper limit of the reasoning ability of vision-language models. By introducing the 'thinking paradigm' and reinforcement learning, it significantly improves the model's ability and reaches the leading level among VLMs with 10B parameters.

MultimodalTransformersMultiple Languages

Devstral 1.1 is an intelligent large language model jointly developed by Mistral AI and All Hands AI, specifically designed for software engineering tasks. This model performs excellently in the SWE-bench benchmark test, ranking first among open-source models. It has 24 billion parameters and a long context window of 128k tokens.

Natural Language ProcessingSafetensorsMultiple Languages

Devstral is a large language model specifically designed for software engineering tasks, developed in collaboration by Mistral AI and All Hands AI. It performs excellently in the SWE-bench benchmark test and is the top-ranked open-source model.

Natural Language ProcessingSafetensorsMultiple Languages

SmolLM3 is a language model with 3 billion parameters, aiming to break the performance boundary of small models. It supports 6 languages, has advanced reasoning ability and long context processing ability, and is a fully open-source model.

Natural Language ProcessingTransformersMultiple Languages

GLM-4.1V-9B-Base is an open-source vision-language foundation model developed by Zhipu AI. It has 9 billion parameters, focuses on multimodal reasoning capabilities, supports both Chinese and English, and can process images with up to 4K resolution and a context length of 64K.

MultimodalTransformersMultiple Languages

DeepSeek-VL is an open-source vision-language model developed by the DeepSeek AI team, capable of handling both text and image information simultaneously and generating contextually relevant responses. The model uses a hybrid visual encoder and supports high-resolution image processing, performing excellently in real-world vision-language understanding applications.

MultimodalTransformers