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Running
on
Zero
Running
on
Zero
Update app.py
Browse files
app.py
CHANGED
@@ -300,7 +300,7 @@ with gr.Blocks(css=css, theme="bethecloud/storj_theme") as demo:
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model_choice = gr.Radio(
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choices=[ "openbmb/MiniCPM-V-4", "Lumian-VLR-7B-Thinking", "DREX-062225-7B-exp", "olmOCR-7B-0225-preview", "Typhoon-OCR-3B"],
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label="Select Model",
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value="
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)
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gr.Markdown("**Model Info 💻** | [Report Bug](https://huggingface.co/spaces/prithivMLmods/Multimodal-VLM-Thinking/discussions)")
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gr.Markdown("> MiniCPM-V 4.0 is the latest efficient model in the MiniCPM-V series. The model is built based on SigLIP2-400M and MiniCPM4-3B with a total of 4.1B parameters. It inherits the strong single-image, multi-image and video understanding performance of MiniCPM-V 2.6 with largely improved efficiency. Lumian-VLR-7B-Thinking is a high-fidelity vision-language reasoning model built on Qwen2.5-VL-7B-Instruct, designed for fine-grained multimodal understanding, video reasoning, and document comprehension through explicit grounded reasoning.")
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model_choice = gr.Radio(
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choices=[ "openbmb/MiniCPM-V-4", "Lumian-VLR-7B-Thinking", "DREX-062225-7B-exp", "olmOCR-7B-0225-preview", "Typhoon-OCR-3B"],
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label="Select Model",
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value="openbmb/MiniCPM-V-4"
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)
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gr.Markdown("**Model Info 💻** | [Report Bug](https://huggingface.co/spaces/prithivMLmods/Multimodal-VLM-Thinking/discussions)")
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gr.Markdown("> MiniCPM-V 4.0 is the latest efficient model in the MiniCPM-V series. The model is built based on SigLIP2-400M and MiniCPM4-3B with a total of 4.1B parameters. It inherits the strong single-image, multi-image and video understanding performance of MiniCPM-V 2.6 with largely improved efficiency. Lumian-VLR-7B-Thinking is a high-fidelity vision-language reasoning model built on Qwen2.5-VL-7B-Instruct, designed for fine-grained multimodal understanding, video reasoning, and document comprehension through explicit grounded reasoning.")
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