Quilt Llava V1.5 7B by wisdomik

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  Arxiv:2312.04746   Autotrain compatible Dataset:wisdomik/quilt-llava-i...   Dataset:wisdomik/quilt vqa   Dataset:wisdomik/quiltvqa red   Histopathology   Instruct   Llava   Medical   Pytorch   Region:us   Sharded

Quilt Llava V1.5 7B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Quilt Llava V1.5 7B (wisdomik/Quilt-Llava-v1.5-7b)

Quilt Llava V1.5 7B Parameters and Internals

Model Type 
auto-regressive language model, transformer architecture
Use Cases 
Areas:
medical, research
Applications:
medical large multimodal models, chatbots
Primary Use Cases:
Research on histopathology models
Training Details 
Data Sources:
QUILT-1M, QUILT-Instruct
Methodology:
Fine-tuning LLaMA/Vicuna on histopathology educational video sourced images and GPT-generated multimodal instruction-following data.
Model Architecture:
Transformer
LLM NameQuilt Llava V1.5 7B
Repository ๐Ÿค—https://huggingface.co/wisdomik/Quilt-Llava-v1.5-7b 
Model Size7b
Required VRAM14.2 GB
Updated2025-01-20
Maintainerwisdomik
Model Typellava
Instruction-BasedYes
Model Files  0.0 GB   10.0 GB: 1-of-2   4.2 GB: 2-of-2   0.0 GB
Model ArchitectureLlavaLlamaForCausalLM
Licensecc-by-nc-3.0
Context Length4096
Model Max Length4096
Transformers Version4.31.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk 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 wisdomik/Quilt-Llava-v1.5-7b.

Rank the Quilt Llava V1.5 7B 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