Nova-AGI-EXP – AI Model by VoidWalkercero | AlphaNeural AI

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VoidWalkercero/
Nova-AGI-EXP

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🌟 Nova-AGI-EXP

Nova is an experimental AGI-focused language model fine-tuned for reasoning and logical thinking.

🧠 Capabilities

✅ Deductive reasoning
✅ Inductive reasoning
✅ Abductive reasoning
✅ Mathematical sequences
✅ Causal reasoning
✅ Metacognition (self-awareness of limitations)
✅ Contextual understanding
✅ Probabilistic thinking

📊 Training Details

Attribute	Value
Base Model	GPT-2 Medium (355M params)
Training Examples	49 reasoning pairs
Final Loss	0.066
Framework	PyTorch + Transformers

🚀 Quick Start

python

from transformers import GPT2LMHeadModel, GPT2Tokenizer

model = GPT2LMHeadModel.from_pretrained("VoidWalkercero/Nova-AGI-EXP")
tokenizer = GPT2Tokenizer.from_pretrained("VoidWalkercero/Nova-AGI-EXP")

prompt = "User: What comes next: 2, 4, 6, 8, ?\nAssistant:"
inputs = tokenizer(prompt, return_tensors="pt")

outputs = model.generate(
    inputs["input_ids"],
    max_new_tokens=100,
    temperature=0.3,
    top_p=0.85,
    repetition_penalty=1.3
)

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