🌟 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

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))