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Mbilal755 Radiology Bart 8bits by RichardErkhov

 »  All LLMs  »  RichardErkhov  »  Mbilal755 Radiology Bart 8bits   URL Share it on

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  Arxiv:2204.03905   8-bit   Autotrain compatible   Bart   Bitsandbytes   Clinical   Endpoints compatible   Medical   Radiology   Radiology reports   Region:us   Safetensors   Summarization
Model Card on HF 🤗: https://huggingface.co/RichardErkhov/Mbilal755_-_Radiology_Bart-8bits 

Mbilal755 Radiology Bart 8bits Benchmarks

LLME Score: 0.18708
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mbilal755 Radiology Bart 8bits (RichardErkhov/Mbilal755_-_Radiology_Bart-8bits)

Mbilal755 Radiology Bart 8bits Parameters and Internals

Model Type 
Sequence-to-sequence
Use Cases 
Areas:
Medical, Clinical
Applications:
Radiology Summarization
Primary Use Cases:
Summarize radiology findings into impressions
Limitations:
Cannot be used for clinical decision-making or other NLP tasks
Additional Notes 
Sequence-to-sequence model built on BioBart architecture for biomedical text. Fine-tuned on radiology reports for generating summarized impressions.
Supported Languages 
English (Fluent)
Training Details 
Data Sources:
Deidentified Radiology Reports, PubMed
Data Volume:
70,000 reports
Methodology:
Fine-tuning on pretrained BioBart-v2-base with radiology reports
Model Architecture:
Encoder-decoder structure with attention mechanism
Input Output 
Input Format:
Radiology findings text
Accepted Modalities:
text
Output Format:
Summarized impression text
LLM NameMbilal755 Radiology Bart 8bits
Repository 🤗https://huggingface.co/RichardErkhov/Mbilal755_-_Radiology_Bart-8bits 
Model Size290.2m
Required VRAM0.4 GB
Updated2025-02-22
MaintainerRichardErkhov
Model Typebart
Model Files  0.4 GB
Supported Languagesen
Model ArchitectureBartForCausalLM
Context Length1024
Model Max Length1024
Transformers Version4.40.2
Tokenizer ClassBartTokenizer
Padding Token<pad>
Vocabulary Size85401
Torch Data Typefloat16
Activation Functiongelu
Errorsreplace

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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  
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Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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