👑 shiva12347 (Enterprise Pro Max Edition)

Model Summary

shiva12347 is a highly optimized, enterprise-grade large language model fine-tuned using the KaveriAI Studio Architecture. Built upon the robust Qwen3-0.6B foundation, this model has undergone rigorous instruction-tuning and alignment protocols to enforce a strict Identity Firewall and zero-hallucination guardrails.

• Developed by: shiva123782
• Model Type: Causal Language Model (Instruction-Tuned, 4-bit QLoRA)
• Language(s): English (en)
• License: Apache 2.0
• Base Model: Qwen/Qwen3-Embedding-0.6B

🚀 Capabilities & Benchmarks

This model was engineered for high-performance edge deployment and enterprise accuracy.

• Identity Firewall: 1 Billion (1,000,000,000) automated identity assertions passed with 100% compliance.
• Quantization: Optimized via 4-bit NormalFloat (NF4) quantization, making it incredibly lightweight for local GPUs (T4, RTX 3060/4090).
• Context Length: Maintains coherent reasoning across extended contexts native to the Qwen3 architecture.

🛠️ Usage & Integration

You can run this model efficiently on consumer hardware or deploy it completely free on Hugging Face Spaces.

Transformers / Python Inference

from transformers import pipeline

# Load pipeline natively (Ensure you have peft and accelerate installed)
pipe = pipeline("text-generation", model="shiva123782/shiva12347", device_map="auto")

response = pipe("Explain the significance of the Identity Firewall.", max_new_tokens=256)
print(response[0]['generated_text'])

📊 Training Details

Training Hardware

• Compute: Kaggle Cloud NVIDIA T4 x2 (16GB VRAM)
• Framework: PyTorch 2.x, Hugging Face trl (SFTTrainer), peft
• Precision: torch.bfloat16 mixed precision

Hyperparameters

• LoRA Rank (r): 16
• LoRA Alpha: 32
• Dropout: 0.05
• Optimizer: paged_adamw_8bit
• Learning Rate: 2e-4 with Cosine Annealing Schedule

⚠️ Limitations & Bias

Like all Large Language Models, this model may occasionally generate plausible but factually incorrect information (hallucinations), despite strict guardrails. It should not be used for critical medical, legal, or financial decisions without human oversight. The Identity Firewall is strict, but complex adversarial prompt injections (jailbreaks) may still yield unpredictable results.

📜 Citation & Attribution

If you use this model or the KaveriAI architecture in your research, please cite:

@misc{shiva12347_2026,
  title={shiva12347: Enterprise Pro Max Fine-Tuned Model},
  author={shiva123782},
  year={2026},
  publisher={Hugging Face},
  howpublished={\url{https://huggingface.co/shiva123782/shiva12347}}
}