Model Card for smallm_70_instruct

This model is a fine-tuned version of Azrail/smallm_70. It has been trained using TRL.

Quick start

from transformers import pipeline, AutoTokenizer

question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
tokenizer = AutoTokenizer.from_pretrained("Azrail/smallm_70_instruct")
generator = pipeline("text-generation", model="Azrail/smallm_70_instruct", device="cuda", trust_remote_code=True, tokenizer=tokenizer)
output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
print(output["generated_text"])

Training procedure

This model was trained with SFT.

Framework versions

• TRL: 0.16.1
• Transformers: 4.50.3
• Pytorch: 2.6.0+cu126
• Datasets: 3.5.0
• Tokenizers: 0.21.1