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Llava 1.5 Image Classification V3 by Vishal24

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Llava 1.5 Image Classification V3 is an open-source language model by Vishal24. Features: 7b LLM, VRAM: 23.3GB, Context: 4K, LLM Explorer Score: 0.14.

  Arxiv:1910.09700   Endpoints compatible   Llava llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Vishal24/llava_1.5_image_classification_v3 

Llava 1.5 Image Classification V3 Benchmarks

LLME Score: 0.13751
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llava 1.5 Image Classification V3 (Vishal24/llava_1.5_image_classification_v3)
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Llava 1.5 Image Classification V3 Parameters and Internals

LLM NameLlava 1.5 Image Classification V3
Repository 🤗https://huggingface.co/Vishal24/llava_1.5_image_classification_v3 
Model Size7b
Required VRAM23.3 GB
Updated2026-05-10
MaintainerVishal24
Model Typellava_llama
Model Files  4.9 GB: 1-of-5   5.0 GB: 2-of-5   4.9 GB: 3-of-5   4.9 GB: 4-of-5   3.6 GB: 5-of-5
Model ArchitectureLlavaLlamaForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.37.2
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 Vishal24/llava_1.5_image_classification_v3.

Rank the Llava 1.5 Image Classification V3 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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