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F 16

Official model release of Improving LLM Video Understanding with 16 Frames Per Second

Quellehuggingface.co/tsinghua-ee/F-16/tree/be2c02086f5294fcf89b9578ef99405188487d55

ArtText modelBasismodellQwen/Qwen2-7BVersionBBewertung

Modellquelle

Art: Text model
Dateigröße: 17,3 GB
Basismodell: Qwen/Qwen2-7B
Version: vall_parameters
Aktualisiert: 30. Okt. 2026
Downloads: 18
Quelle: Hugging Face

Quellenbeschreibung

Improving LLM Video Understanding with 16 Frames Per Second

Official model release of Improving LLM Video Understanding with 16 Frames Per Second

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1 Quelle

Hugging FacePrimärVersion be2c02086f5294fcf89b9578ef99405188487d55

huggingface.co/tsinghua-ee/F-16/tree/be2c02086f5294fcf89b9578ef99405188487d55

Verifiziert 30. Okt.

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1 Artefakt

all_parameters.bin

bin · 17,3 GB · SHA-256 db59feaa6089…f70c · Hugging Face

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3 Auszüge

Readme14. Aug.huggingface.co/tsinghua-ee/F-16

--- license: apache-2.0 datasets: - lmms-lab/LLaVA-Video-178K - ShareGPT4Video/ShareGPT4Video language: - en metrics: - accuracy base_model: - Qwen/Qwen2-7B - lmms-lab/llava-onevision-qwen2-7b-ov pipeline_tag: video-text-to-text library_name: transformers --- # Improving LLM Video Understanding with 16 Frames Per Second Official model release of [Improving LLM Video Understanding with 16 Frames Per Second](https://github.com/bytedance/F-16/)

Note30. Okt.huggingface.co/tsinghua-ee/F-16

Source context: 18 downloads · 0 likes · Pipeline video-text-to-text · Library transformers · Repo tsinghua-ee/F-16

Note14. Aug.huggingface.co/tsinghua-ee/F-16

Source context: 23 downloads · 0 likes · Pipeline video-text-to-text · Library transformers · Repo tsinghua-ee/F-16