Sharegpt4video 8B by Lin-Chen

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  Arxiv:2406.04325   Autotrain compatible   Dataset:lin-chen/sharegpt4v Dataset:sharegpt4video/sharegp...   Llava llama   Region:us   Safetensors   Sharded   Tensorflow   Visual-question-answering

Sharegpt4video 8B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Sharegpt4video 8B (Lin-Chen/sharegpt4video-8b)

Sharegpt4video 8B Parameters and Internals

Model Type 
video chatbot
Use Cases 
Areas:
research, computer vision, natural language processing, machine learning, artificial intelligence
Applications:
video-language models, video chatbots
Primary Use Cases:
research on large video-language models and video chatbots
Training Details 
Data Sources:
Lin-Chen/ShareGPT4V, ShareGPT4Video/ShareGPT4Video
Data Volume:
153K video instruction data, 28K video caption data
Methodology:
Fine-tuning on open-source video instruction data
Training Time:
approx. 5 hours on 32xA100 GPUs
Hardware Used:
32xA100 GPUs
LLM NameSharegpt4video 8B
Repository ๐Ÿค—https://huggingface.co/Lin-Chen/sharegpt4video-8b 
Model Size8b
Required VRAM16.7 GB
Updated2025-02-22
MaintainerLin-Chen
Model Typellava_llama
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.8 GB: 4-of-4
Model ArchitectureLlavaLlamaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.37.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<pad>
Vocabulary Size128257
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than Lin-Chen/sharegpt4video-8b.

Rank the Sharegpt4video 8B 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