Llama2 MedTuned 7B by nlpie

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Llama2 MedTuned 7B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama2 MedTuned 7B (nlpie/Llama2-MedTuned-7b)

Llama2 MedTuned 7B Parameters and Internals

Model Type 
biomedical, clinical, medical
Use Cases 
Areas:
research
Applications:
biomedical language processing
Primary Use Cases:
Named Entity Recognition (NER), Relation Extraction (RE), Medical Natural Language Inference (NLI)
LLM NameLlama2 MedTuned 7B
Repository ๐Ÿค—https://huggingface.co/nlpie/Llama2-MedTuned-7b 
Model Size7b
Required VRAM13.5 GB
Updated2025-03-18
Maintainernlpie
Model Typellama
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.34.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than nlpie/Llama2-MedTuned-7b.

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