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Bloomz-7b1-instruct

This is Bloomz-7b1-mt model fine-tuned with multilingual instruction dataset and using Peft Lora fine-tuning. Following languages are supported: English, German, French, Spanish, Hindi, Indonesian, Japanese, Malaysian, Portuguese, Russian, Thai, Vietnamese and Chinese.

Usage

Following is the code to do the inference using this model:

import torch
from peft import PeftModel, PeftConfig
from transformers import AutoModelForCausalLM, AutoTokenizer, BitsAndBytesConfig

peft_model_id = "cahya/bloomz-7b1-instruct"
config = PeftConfig.from_pretrained(peft_model_id)

model = AutoModelForCausalLM.from_pretrained(config.base_model_name_or_path, return_dict=True, 
                                             load_in_8bit=True, device_map='auto')
tokenizer = AutoTokenizer.from_pretrained(config.base_model_name_or_path)

# Load the Lora model
model = PeftModel.from_pretrained(model, peft_model_id)

batch = tokenizer("User: How old is the universe?\nAssistant: ", return_tensors='pt').to(0)


with torch.cuda.amp.autocast():
  output_tokens = model.generate(**batch, max_new_tokens=200,
                                 min_length=50,
                                 do_sample=True,
                                 top_k=40,
                                 top_p=0.9,
                                 temperature=0.2,
                                 repetition_penalty=1.2,
                                 num_return_sequences=1)

print('\n\n', tokenizer.decode(output_tokens[0], skip_special_tokens=True))
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Dataset used to train cahya/bloomz-7b1-instruct