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Open-weight model

video-assistant-model

by S Awadhy/video-assistant-model

video-assistant-model is an open-weight model from S. Its published files total 20.2 MB.

This is the model card of a transformers model that has been pushed on the Hub. Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. Use the code below to get started with the model.

Parameters—
Context—
Weights8.7 MB
License—
AccessOpen weights
Monthly Downloads—

Model Card

This is the model card of a transformers model that has been pushed on the Hub. Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. Use the code below to get started with the model. Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

Excerpt from the card by S.

Identity and Version

Repository
Awadhy/video-assistant-model
Publisher
S
Task
Not stated by the source
Modality
Other
Library
transformers
Parameters
Not stated by the source
Languages
Not stated by the source
Revision
668f965f907234c0bd3a9f1137979e26f5d39ea0
First published
2026-09-21
Last updated
2026-09-21

Files and Weights

7 files, 20.2 MB in total. The weights are 1 file totalling 8.7 MB in safetensors.

Weights1 file · 8.7 MB
Configuration1 file · 1.1 KB
Tokenizer2 files · 11.4 MB
Documentation1 file · 5.2 KB
Other1 file · 2.5 KB
Repository1 file · 1.6 KB
Every file
FileTypeSizeSHA-256
adapter_model.safetensorsWeights8.7 MB a91298960ecd
adapter_config.jsonConfiguration1.1 KB —
README.mdDocumentation5.2 KB —
chat_template.jinjaOther2.5 KB —
.gitattributesRepository1.6 KB —
tokenizer.jsonTokenizer11.4 MB 71ece997f2ad
tokenizer_config.jsonTokenizer694 B —

License and Download

License
Not stated by the source
Access
Open weights, no gate
Download size
8.7 MB
Download from S

Released by S through its official repository on Hugging Face.

Built From

Memory Requirements

PrecisionWeights in memory
As published8.7 MB

Weights only, from the published parameter count; the key-value cache and runtime add to this.