LLaVA Video Llama 3 by weizhiwang

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  Autotrain compatible Dataset:liuhaotian/llava-instr... Dataset:liuhaotian/llava-pretr...   En   Endpoints compatible   Instruct   Llava llama   Region:us   Safetensors   Sharded   Tensorflow   Video-text-to-text

LLaVA Video Llama 3 Benchmarks

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

LLaVA Video Llama 3 Parameters and Internals

LLM NameLLaVA Video Llama 3
Repository ๐Ÿค—https://huggingface.co/weizhiwang/LLaVA-Video-Llama-3 
Model Size8b
Required VRAM16.7 GB
Updated2024-09-07
Maintainerweizhiwang
Model Typellava_llama
Instruction-BasedYes
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   0.0 GB
Supported Languagesen
Model ArchitectureLlavaLlamaForCausalLM
Licensecc
Context Length8192
Model Max Length8192
Transformers Version4.37.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|reserved_special_token_0|>
Vocabulary Size128256
Torch Data Typebfloat16
LLaVA Video Llama 3 (weizhiwang/LLaVA-Video-Llama-3)

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Vip Llava Llama 3 8B8K / 16.8 GB70
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Note: green Score (e.g. "73.2") means that the model is better than weizhiwang/LLaVA-Video-Llama-3.

Rank the LLaVA Video Llama 3 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 v2024072803