ShareCaptioner Video by Lin-Chen

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  Arxiv:2406.04325   Autotrain compatible   Conversational   Custom code Dataset:sharegpt4video/sharegp...   Internlmxcomposer2   Pytorch   Region:us   Sharded

ShareCaptioner Video Benchmarks

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

ShareCaptioner Video Parameters and Internals

Model Type 
video captioning, natural language processing
Use Cases 
Areas:
research, hobbyist projects
Primary Use Cases:
high-quality video captioning
Training Details 
Data Sources:
ShareGPT4Video dataset, GPT4V-assisted
Data Volume:
120K data instances (40K video-caption pairs, 40K captioning conversations, 40K prompt-to-caption data)
Methodology:
Fine-tuning on GPT4V-assisted data
Model Architecture:
InternLM-Xcomposer2-4KHD
LLM NameShareCaptioner Video
Repository ๐Ÿค—https://huggingface.co/Lin-Chen/ShareCaptioner-Video 
Required VRAM17.2 GB
Updated2025-02-22
MaintainerLin-Chen
Model Typeinternlmxcomposer2
Model Files  10.0 GB: 1-of-2   7.2 GB: 2-of-2   0.0 GB
Model ArchitectureInternLM2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.33.1
Is Biased0
Tokenizer ClassInternLM2Tokenizer
Padding Token</s>
Vocabulary Size92544
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Lin-Chen/ShareCaptioner-Video.

Rank the ShareCaptioner Video Capabilities

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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