AutoT2VPrompt by WenhaoWang

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  Arxiv:2403.06098 Automatical text-to-video prom...   Autotrain compatible   Dataset:wenhaowang/vidprom   En   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow   Text-to-video generation   Vidprom

AutoT2VPrompt Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
AutoT2VPrompt (WenhaoWang/AutoT2VPrompt)

AutoT2VPrompt Parameters and Internals

Model Type 
text-to-video generation
Training Details 
Data Sources:
WenhaoWang/VidProM
Hardware Used:
8 A100 GPUs
Input Output 
Input Format:
Text input
Accepted Modalities:
text
Output Format:
Text
LLM NameAutoT2VPrompt
Repository ๐Ÿค—https://huggingface.co/WenhaoWang/AutoT2VPrompt 
Model Size7b
Required VRAM14.4 GB
Updated2025-02-22
MaintainerWenhaoWang
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3   0.0 GB
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.39.3
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than WenhaoWang/AutoT2VPrompt.

Rank the AutoT2VPrompt Capabilities

๐Ÿ†˜ Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! ๐ŸŒŸ

Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227