metadata
license: bsd
datasets:
- vicgalle/alpaca-gpt4
language:
- fa
metrics:
- accuracy
pipeline_tag: text-generation
This model is Llama2-7B fine-tuned model which trained on farsi-wiki(approximately 180 milion token) and translated ALPACA dataset. We extend tokenizer by 19954 new token with BPE algorithm running on persian dataset.
Use this code to run model on you input:
from transformers import AutoTokenizer, LlamaModelForCausalLM
model = LlamaModelForCausalLM.from_pretrained("mostafaamiri/persian_llama_7B_merged")
tokenizer = AutoTokenizer.from_pretrained(""mostafaamiri/persian_llama_7B_merged"")
instruction = "برای رفتن به کوهنوردی چه وسایلی را با خود ببرم؟"
prompt = [
"""Below is an instruction that describes a task.
Write a response that appropriately completes the request.\n\n
### Instruction:\n\n{instruction}\n\n\n### Response:\n\n\n"""
]
model.to("cuda")
generated_ids = model.generate(**tokenizer(prompt, return_tensors='pt').to("cuda"))
print(tokenizer.batch_decode(generated_ids)[0])