T2v Align 4fps Resize448 by t2v-eval

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  Autotrain compatible   Endpoints compatible   Mplug owl2   Pytorch   Region:us   Sharded

T2v Align 4fps Resize448 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
T2v Align 4fps Resize448 (t2v-eval/t2v-align-4fps-resize448)

T2v Align 4fps Resize448 Parameters and Internals

LLM NameT2v Align 4fps Resize448
Repository ๐Ÿค—https://huggingface.co/t2v-eval/t2v-align-4fps-resize448 
Model Size7b
Required VRAM16.4 GB
Updated2025-02-22
Maintainert2v-eval
Model Typemplug_owl2
Model Files  5.0 GB: 1-of-4   4.9 GB: 2-of-4   5.0 GB: 3-of-4   1.5 GB: 4-of-4   0.0 GB
Model ArchitectureMPLUGOwl2LlamaForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Compare2Score2K / 16.4 GB61
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Note: green Score (e.g. "73.2") means that the model is better than t2v-eval/t2v-align-4fps-resize448.

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