LLaVA Hound SFT Image Only by ShareGPTVideo

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  Autotrain compatible   Finetuned   Llava llama   Region:us   Safetensors   Sharded   Tensorflow

LLaVA Hound SFT Image Only Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
LLaVA Hound SFT Image Only (ShareGPTVideo/LLaVA-Hound-SFT-Image_only)

LLaVA Hound SFT Image Only Parameters and Internals

Model Type 
video large multimodal model
Use Cases 
Primary Use Cases:
Video (and image) instruction-following
Training Details 
Data Sources:
ShareGPTVideo dataset
Methodology:
Fine-tuned from video instruction following data.
LLM NameLLaVA Hound SFT Image Only
Repository ๐Ÿค—https://huggingface.co/ShareGPTVideo/LLaVA-Hound-SFT-Image_only 
Model Size7.5b
Required VRAM15 GB
Updated2025-02-22
MaintainerShareGPTVideo
Model Typellava_llama
Model Files  4.9 GB: 1-of-4   5.0 GB: 2-of-4   4.8 GB: 3-of-4   0.3 GB: 4-of-4   0.0 GB
Model ArchitectureLlavaLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than ShareGPTVideo/LLaVA-Hound-SFT-Image_only.

Rank the LLaVA Hound SFT Image Only 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