RaDialog Interactive Radiology Report Generation by ChantalPellegrini

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  Autotrain compatible   Dataset:mimic-cxr   Image-text-to-text   Llava   Lora   Medical   Medical chatbot   Radiology report generation   Region:us

RaDialog Interactive Radiology Report Generation Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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RaDialog Interactive Radiology Report Generation Parameters and Internals

Model Type 
radiology report generation, medical chatbot
Use Cases 
Areas:
medical
Applications:
radiology report generation, medical chatbot
Input Output 
Accepted Modalities:
text, image
LLM NameRaDialog Interactive Radiology Report Generation
Repository ๐Ÿค—https://huggingface.co/ChantalPellegrini/RaDialog-interactive-radiology-report-generation 
Required VRAM0.2 GB
Updated2025-06-09
MaintainerChantalPellegrini
Model Files  0.6 GB   0.2 GB
Model ArchitectureAutoModelForCausalLM
Licenseapache-2.0
Is Biasednone
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesgate_proj|v_proj|o_proj|k_proj|down_proj|up_proj|q_proj
LoRA Alpha256
LoRA Dropout0.05
R Param128
RaDialog Interactive Radiology Report Generation (ChantalPellegrini/RaDialog-interactive-radiology-report-generation)

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Note: green Score (e.g. "73.2") means that the model is better than ChantalPellegrini/RaDialog-interactive-radiology-report-generation.

Rank the RaDialog Interactive Radiology Report Generation 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 v20241124