vilord-1.8B-instruct

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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

• Developed by: thangvip
• Language(s) (NLP): Vietnamese
• Finetuned from model: vietgpt/Sailor-1.8B

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Uses

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from transformers import AutoModelForCausalLM, AutoTokenizer
import torch

model = AutoModelForCausalLM.from_pretrained("thangvip/vilord-1.8B-instruct", device_map="auto", cache_dir="./cache").eval()

tokenizer = AutoTokenizer.from_pretrained("thangvip/vilord-1.8B-instruct", cache_dir="./cache")


messages = [
  {'role': 'system', 'content': "bạn là trợ lý AI hữu ích"},
  {"role": "user", "content": "Nước nào có diện tích lớn nhất?"},
]
text = tokenizer.apply_chat_template(messages, add_generation_prompt=True, tokenize=False)
print(text)
inputs = tokenizer(text, return_tensors="pt")
inputs = {k: v.to("cuda") for k, v in inputs.items()}

outputs = model.generate(**inputs, tokenizer=tokenizer, max_new_tokens=256, do_sample=True, top_p=0.95, temperature=0.1, repetition_penalty=1.2, eos_token_id=tokenizer.eos_token_id, stop_strings=['<|im_end|>'])
print(tokenizer.decode(outputs[0]))

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