Video-Text-to-Text
Transformers
Safetensors
English
Chinese
moss_vl
feature-extraction
SFT
Video-Understanding
Image-Understanding
MOSS-VL
OpenMOSS
multimodal
video
vision-language
custom_code
Instructions to use OpenMOSS-Team/MOSS-VL-Instruct-0408 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenMOSS-Team/MOSS-VL-Instruct-0408 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("OpenMOSS-Team/MOSS-VL-Instruct-0408", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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---
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title: MOSS-VL-Instruct-0408
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date: 2026-04-
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category: Multimodal-LLM
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status: SFT
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language:
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library_name: transformers
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pipeline_tag: video-text-to-text
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license: apache-2.0
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base_model:
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tags:
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- SFT
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- Video-Understanding
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howpublished = {\url{https://github.com/fnlp-vision/MOSS-VL}},
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note = {GitHub repository}
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}
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```
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---
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title: MOSS-VL-Instruct-0408
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date: '2026-04-08T00:00:00.000Z'
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category: Multimodal-LLM
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status: SFT
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language:
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library_name: transformers
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pipeline_tag: video-text-to-text
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license: apache-2.0
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base_model:
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- fnlp-vision/MOSS-VL-Base-0408
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tags:
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- SFT
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- Video-Understanding
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howpublished = {\url{https://github.com/fnlp-vision/MOSS-VL}},
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note = {GitHub repository}
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}
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```
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