metadata
license: apache-2.0
base_model: HuggingFaceTB/SmolLM2-360M
language:
- en
pipeline_tag: text-generation
tags:
- smollm2
- instruction-tuning
- supervised-fine-tuning
- alpaca
- gpteacher
- instruction-following
- small-language-models
SmolLM2-360M Base IT
This is an instruction-tuned version of HuggingFaceTB/SmolLM2-360M.
The model was fine-tuned for general instruction following using Alpaca-style supervised fine-tuning.
Quick Start
import torch
from transformers import pipeline
model_id = "srmty/smollm2-python-coder"
generator = pipeline(
"text-generation",
model=model_id,
tokenizer=model_id,
torch_dtype=torch.float16 if torch.cuda.is_available() else torch.float32,
device_map="auto" if torch.cuda.is_available() else None,
)
messages = [
{
"role": "user",
"content": "Write a Python function to check whether a number is prime."
}
]
output = generator(
messages,
max_new_tokens=256,
do_sample=True,
temperature=0.7,
top_p=0.9,
return_full_text=False,
pad_token_id=generator.tokenizer.eos_token_id,
)
print(output[0]["generated_text"])