Model Overview

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Training Methodology

Full fine-tuning — every single parameter in GPT-2 was updated. No LoRA, no QLoRA, no adapters of any kind.

Datasets

97 / 3 train / eval split.

Hyperparameters

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Quick Start

python
Copy code
from transformers import GPT2LMHeadModel, GPT2TokenizerFast
import torch

model_id  = "GODsStrongestSoldier/GPT2.5.5-Awakened.Thinker-0.1B"
tokenizer = GPT2TokenizerFast.from_pretrained(model_id)
model     = GPT2LMHeadModel.from_pretrained(model_id, torch_dtype=torch.float16)
model.eval()

prompt = "Let me think through this carefully, step by step:"
inputs = tokenizer(prompt, return_tensors="pt")

with torch.no_grad():
    output = model.generate(
        **inputs,
        max_new_tokens     = 200,
        do_sample          = True,
        temperature        = 0.7,
        top_p              = 0.9,
        repetition_penalty = 1.15,
    )

print(tokenizer.decode(output[0], skip_special_tokens=True))

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About WithIn Us AI

• HuggingFace org : WithinUsAI
• Creator : GODsStrongestSoldier

"Strength through understanding. Awakened from within."