Dermatology LLaVA by ulrica

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Dermatology LLaVA is an open-source language model by ulrica. Features: LLM, VRAM: 14.7GB, Context: 4K, LLM Explorer Score: 0.14.

  Arxiv:1910.09700   Autotrain compatible   Endpoints compatible   Llava llama   Pytorch   Region:us   Sharded

Dermatology LLaVA Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Dermatology LLaVA (ulrica/Dermatology_LLaVA)
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Dermatology LLaVA Parameters and Internals

LLM NameDermatology LLaVA
Repository ๐Ÿค—https://huggingface.co/ulrica/Dermatology_LLaVA 
Required VRAM14.7 GB
Updated2025-09-23
Maintainerulrica
Model Typellava_llama
Model Files  0.0 GB   4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.8 GB: 3-of-3
Model ArchitectureLlavaLlamaForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.38.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than ulrica/Dermatology_LLaVA.

Rank the Dermatology LLaVA Capabilities

๐Ÿ†˜ Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! ๐ŸŒŸ

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.
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Release v20260328a