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README.md
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license: apache-2.0
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# Logics-Thinking
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<div align="center">
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<img src="imgs/logo.png" width="80%" >
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</div>
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<font size=4><div align='center' > [[π
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## π₯ News
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We are honored to
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<p align="center">
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<img src="imgs/radar_thinking_en.png" width="45%" alt="Logics Performance EN">
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video_path = "file:///path/to/video1.mp4"
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text="Please describe this image or video."
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MODEL_PATH = 'Logics-MLLM/Logics-Thinking'
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model = AutoModelForCausalLM.from_pretrained(
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MODEL_PATH,
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torch_dtype="auto",
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## Acknowledgement
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Logics is developed based on the codebases of the following projects: [SigLIP](https://huggingface.co/google/siglip-so400m-patch14-384),[ConvNeXT](https://huggingface.co/facebook/convnext-large-224), [Qwen3](https://github.com/QwenLM/Qwen3), [Qwen2.5-VL](https://github.com/QwenLM/Qwen2.5-VL), [VLMEvalKit](https://github.com/open-compass/VLMEvalKit). We sincerely thank these projects for their outstanding work.
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# Logics-Thinking
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<div align="center">
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<img src="imgs/logo.png" width="80%" >
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</div>
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<font size=4><div align='center' > [[π GitHub]](https://github.com/alibaba/Logics-Thinking) [[π Logics-Thinking-8B](https://huggingface.co/Logics-MLLM/Logics-Thinking-8B)] [[π Logics-Thinking-32B](https://huggingface.co/Logics-MLLM/Logics-Thinking-32B)] </div></font>
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## π₯ News
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* **`2025.09.30`** π We are honored to open source [**Logics-Thinking-32B**](https://huggingface.co/Logics-MLLM/Logics-Thinking-32B), excelling in complex logical and abstract reasoning.
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* **`2025.09.15`** π We are honored to launch [**Logics-Thinking-8B**](https://huggingface.co/Logics-MLLM/Logics-Thinking-8B), a next-generation multimodal large model developed with great dedication by the **Logics Team** at Alibaba Group. Logics-Thinking is specifically engineered for advanced reasoning tasks, demonstrating outstanding performance in the domain of complex logical and abstract reasoning. This launch marks a key step in our mission to continuously push the frontiers of artificial intelligence, and we are excited for the future it will enable.
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<p align="center">
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<img src="imgs/radar_thinking_en.png" width="45%" alt="Logics Performance EN">
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video_path = "file:///path/to/video1.mp4"
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text="Please describe this image or video."
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MODEL_PATH = 'Logics-MLLM/Logics-Thinking-8B'
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model = AutoModelForCausalLM.from_pretrained(
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MODEL_PATH,
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torch_dtype="auto",
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## Acknowledgement
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Logics is developed based on the codebases of the following projects: [SigLIP](https://huggingface.co/google/siglip-so400m-patch14-384),[ConvNeXT](https://huggingface.co/facebook/convnext-large-224), [Qwen3](https://github.com/QwenLM/Qwen3), [Qwen2.5-VL](https://github.com/QwenLM/Qwen2.5-VL), [VLMEvalKit](https://github.com/open-compass/VLMEvalKit). We sincerely thank these projects for their outstanding work.
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imgs/logics_thinking_en_res.png
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