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GREEN RadLlama2 7B by StanfordAIMI

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GREEN RadLlama2 7B is an open-source language model by StanfordAIMI. Features: 7b LLM, VRAM: 13.5GB, Context: 4K, License: llama2, LLM Explorer Score: 0.16.

Base model:finetune:stanfordai... Base model:stanfordaimi/radlla...   Conversational   Endpoints compatible   Generated from trainer   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/StanfordAIMI/GREEN-RadLlama2-7b 

GREEN RadLlama2 7B Benchmarks

LLME Score: 0.15618
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
GREEN RadLlama2 7B (StanfordAIMI/GREEN-RadLlama2-7b)
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GREEN RadLlama2 7B Parameters and Internals

Use Cases 
Applications:
Evaluate the difference between the reference and candidate radiology report for Chest Xrays
Primary Use Cases:
Radiology report evaluation
Training Details 
Methodology:
Fine-tuning
Hardware Used:
multi-GPU, 8 devices
LLM NameGREEN RadLlama2 7B
Repository 🤗https://huggingface.co/StanfordAIMI/GREEN-RadLlama2-7b 
Base Model(s)  RadLLaMA 7B   StanfordAIMI/RadLLaMA-7b
Model Size7b
Required VRAM13.5 GB
Updated2026-04-02
MaintainerStanfordAIMI
Model Typellama
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   3.6 GB: 3-of-3   0.0 GB
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.38.0.dev0
Tokenizer ClassCheXagentTokenizer
Padding 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 StanfordAIMI/GREEN-RadLlama2-7b.

Rank the GREEN RadLlama2 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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