tinystories-30m-instruct

42
llama
by
Raising-an-llm
Language Model
OTHER
New
42 downloads
Early-stage
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Quick Summary

AI model with specialized capabilities.

Code Examples

Model Detailspythontransformers
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("Raising-an-llm/tinystories-30m-instruct")
tokenizer = AutoTokenizer.from_pretrained("Raising-an-llm/tinystories-30m-instruct")

# Format: prompt + "\n\nStory:\n"
prompt = "Write a short story using these words: brave, forest, magical."
formatted = prompt + "\n\nStory:\n"

inputs = tokenizer(formatted, return_tensors="pt")
outputs = model.generate(
    **inputs,
    max_new_tokens=256,
    temperature=0.8,
    top_p=0.9,
    do_sample=True
)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))

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