GPT Neox 20B Medical Reports Splits by suarkadipa

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GPT Neox 20B Medical Reports Splits is an open-source language model by suarkadipa. Features: 20b LLM, LLM Explorer Score: 0.08.

  Adapter Dataset:indianauniversitydatas...   Finetuned   Lora   Region:us   Tensorboard

GPT Neox 20B Medical Reports Splits Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
GPT Neox 20B Medical Reports Splits (suarkadipa/gpt-neox-20b-Medical-reports-Splits)
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GPT Neox 20B Medical Reports Splits Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
medical research applications, text generation
Applications:
medical report generation, text-based inquiries
Additional Notes 
Uses 4-bit quantization for efficient performance.
Input Output 
Input Format:
text
Accepted Modalities:
text
Output Format:
text
LLM NameGPT Neox 20B Medical Reports Splits
Repository ๐Ÿค—https://huggingface.co/suarkadipa/gpt-neox-20b-Medical-reports-Splits 
Model Size20b
Required VRAM0 GB
Updated2026-03-29
Maintainersuarkadipa
Model Files  0.0 GB
Model ArchitectureAdapter
Is Biasednone
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesquery_key_value
LoRA Alpha32
LoRA Dropout0.05
R Param8

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Note: green Score (e.g. "73.2") means that the model is better than suarkadipa/gpt-neox-20b-Medical-reports-Splits.

Rank the GPT Neox 20B Medical Reports Splits 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.
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Release v20260328a