Model: jimnoneill/BSG_CyLlama
Author: jimnoneill
Pipeline: text-generation
Library: peft
Tags: peft, safetensors, biomedical-summary-generation, cyclical-embeddings, named-entity-extraction, corpus-level-summarization, scientific-summarization, biomedical, research, llama, lora, text-generation, sentence-transformers, conversational, dataset:jimnoneill/BSG_CyLlama-training, base_model:meta-llama/Llama-3.2-1B-Instruct, base_model:adapter:meta-llama/Llama-3.2-1B-Instruct, license:llama3.2, region:us
Base models (adapter): id: meta-llama/Llama-3.2-1B-Instruct
Card metadata: license: llama3.2
base_model: meta-llama/Llama-3.2-1B-Instruct
model_type: peft
library_name: peft
tags: biomedical-summary-generation, cyclical-embeddings, named-entity-extraction, corpus-level-summarization, scientific-summarization, biomedical, research, llama, lora, text-generation, sentence-transformers
datasets: jimnoneill/BSG_CyLlama-training
pipeline_tag: text-generation
widget: text: Generate a biomedical summary from this corpus: [Document 1: Deep learning in medical imaging...] [Document 2: Neural networks for drug discovery...] [Named Entities: CNN, pharmaceutical compounds, medical imaging]
example_title: BSG CyLlama Corpus Summarization
Likes: 1 | All-time downloads: 63
Created: 2025-08-16 21:17:30