license: apache-2.0
Model Card for Model ID
This model is optimized for plant science by continuing pertaining on over 1.5 million plant science academic articles based on LLaMa-2.
Developed by: [UCSB]
Language(s) (NLP): [More Information Needed]
License: [More Information Needed]
Finetuned from model [optional]: [LLaMa-2]
Paper [optional]: [https://arxiv.org/pdf/2401.01600.pdf]
Demo [optional]: [More Information Needed]
How to Get Started with the Model
from transformers import LlamaTokenizer, LlamaForCausalLM import torch
tokenizer = LlamaTokenizer.from_pretrained("Xianjun/PLLaMa-7b-base") model = LlamaForCausalLM.from_pretrained("Xianjun/PLLaMa-7b-base").half().to("cuda")
instruction = "How to ..." batch = tokenizer(instruction, return_tensors="pt", add_special_tokens=False).to("cuda") with torch.no_grad(): output = model.generate(**batch, max_new_tokens=512, temperature=0.7, do_sample=True) response = tokenizer.decode(output[0], skip_special_tokens=True)
Citation [optional]
@inproceedings{Yang2024PLLaMaAO, title={PLLaMa: An Open-source Large Language Model for Plant Science}, author={Xianjun Yang and Junfeng Gao and Wenxin Xue and Erik Alexandersson}, year={2024}, url={https://api.semanticscholar.org/CorpusID:266741610} }