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Ant Group's inclusionAI Open-Sources 2B Visual Forensics Model DefakerOne2
Ant Group's GuangJian team has open-sourced DefakerOne2 on GitHub, a 2B-parameter unified visual forensics model built on the Qwen3.5-2B multimodal backbone, covering AI-generated content, DeepFake faces, document tampering, natural image tampering, face and ID anti-counterfeiting, and AI-generated video detection. The model was trained on approximately 50 million samples, employs a three-stage Tide-Style Tuning process from LoRA to full parameters and back to LoRA, and uses entropy-based test-time routing to select between the video and frame pathways. The team claims that it achieves SOTA on 40 of 53 detection benchmarks and on 11 of 14 localization benchmarks, and that the weights and the RRVBench benchmark have been released on ModelScope.
Ant Group's GuangJian team has open-sourced DefakerOne2 on GitHub, a 2B-parameter unified visual forensics model built on the Qwen3.5-2B multimodal backbone, covering AI-generated content, DeepFake faces, document tampering, natural image tampering, face and ID anti-counterfeiting, and AI-generated video detection. The model was trained on approximately 50 million samples, employs a three-stage Tide-Style Tuning process from LoRA to full parameters and back to LoRA, and uses entropy-based test-t
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Tencent Hunyuan open-sources interactive video world model Hy-Nomas
Tencent Hunyuan releases the open-source free-form interactive video world model Hy-Nomas, which supports interaction using text prompts and camera trajectories, and features long-horizon generation with world memory. The model can be adapted to specialized domains such as robotics via lightweight LoRA, and has been optimized for consumer-grade GPU inference. The official release also provides website, GitHub, Hugging Face, and demo entry points.
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SoMark open-sources the 1.3B document parsing model OXR, ranking first on three benchmarks
SoMark has open-sourced the 1.3B document parsing model OXR, which ranks first on olmOCR-Bench, OmniDocBench, and DocParsingBench, achieves 3.05x the throughput of GLM-OCR on a single RTX PRO 6000, and is the fastest open-source result in the speed comparison. OXR introduces RSI during post-training: a VLM evaluates its own outputs, rollout divergence flags uncertainty, and a separate clustering model attributes it, based on which the next round of targeted data is generated. Rohan Paul calls OXR the first model to use RSI in document parsing, with the GitHub link in the comments.
R-Bench, OmniDocBench, and DocParsingBench, achieves 3.05x the throughput of GLM-OCR on a single RTX PRO 6000, and is the fastest open-source result in the speed comparison. OXR introduces RSI during post-training: a VLM evaluates its own outputs, rollout divergence flags uncertainty, and a separate clustering model attributes it, based on which the next round of targeted data is generated. Rohan Paul calls OXR the first model to use RSI in document parsing, with the GitHub link in the comments.
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Ant Group's inclusionAI open-sources the Ming-3.0-audio-flash native audio model
Ant Group's inclusionAI has open-sourced the Ming-3.0-audio-flash native audio model on GitHub. It uses a 126B-parameter MoE architecture with 6.5B activated parameters, and there is also a Ming-3.0-audio-tiny version with 9.3B parameters and 2.7B activated parameters. The models cover Chinese and English recognition across multiple dialects and accents, long audio understanding, audio reasoning, and end-to-end speech dialogue. They support three inference methods: vLLM-Omni, SGLang, and Transformers, and are released under the MIT license.
Ant Group's inclusionAI has open-sourced the Ming-3.0-audio-flash native audio model on GitHub. It uses a 126B-parameter MoE architecture with 6.5B activated parameters, and there is also a Ming-3.0-audio-tiny version with 9.3B parameters and 2.7B activated parameters. The models cover Chinese and English recognition across multiple dialects and accents, long audio understanding, audio reasoning, and end-to-end speech dialogue. They support three inference methods: vLLM-Omni, SGLang, and Transfo
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