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GPT Finetuned Healthcare by enboyd

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GPT Finetuned Healthcare is an open-source language model by enboyd. Features: LLM, VRAM: 1.4GB, Context: 1K, Fine-Tuned, LLM Explorer Score: 0.07.

  Biogpt   Endpoints compatible   Finetuned   Pytorch   Region:us   Tensorboard
Model Card on HF 🤗: https://huggingface.co/enboyd/gpt-finetuned-healthcare 

GPT Finetuned Healthcare Benchmarks

LLME Score: 0.06842
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
GPT Finetuned Healthcare (enboyd/gpt-finetuned-healthcare)
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GPT Finetuned Healthcare Parameters and Internals

LLM NameGPT Finetuned Healthcare
Repository 🤗https://huggingface.co/enboyd/gpt-finetuned-healthcare 
Required VRAM1.4 GB
Updated2026-05-14
Maintainerenboyd
Model Typebiogpt
Model Files  1.4 GB   0.0 GB
Model ArchitectureBioGptForCausalLM
Context Length1024
Model Max Length1024
Transformers Version4.28.1
Vocabulary Size42384
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than enboyd/gpt-finetuned-healthcare.

Rank the GPT Finetuned Healthcare Capabilities

🆘 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! 🌟

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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Release v20260328a
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