🧠 Phyen — Fine-Tuned Qwen Model for Physics and Engineering Reasoning

Model ID: parani01/phyen
Base Model: Qwen (7B or equivalent)
Type: Fully fine-tuned and merged model (not LoRA)
Framework: PyTorch + Transformers
Files: 4 × .safetensors shards + tokenizer

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🧩 Model Summary

Phyen is a specialized variant of the Qwen model, fine-tuned for physics, engineering, and technical scientific reasoning.
It has been trained and merged to perform better on domain-specific text such as:

• Thermodynamics
• Fluid mechanics
• Structural analysis
• General physics conceptual reasoning

It retains general Qwen language ability but prioritizes scientific precision.

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🚀 Usage Example

from transformers import AutoTokenizer, AutoModelForCausalLM

model_id = "parani01/phyen"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id, device_map="auto")

prompt = "Explain the laws of thermodynamics in simple words."
inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
outputs = model.generate(**inputs, max_new_tokens=120)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))

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📘 Intended Use

Intended for:

• Physics and engineering question answering
• Scientific writing and conceptual reasoning
• Educational or research assistants

Not intended for:

• General conversation
• Legal or medical advice
• Sensitive or factual decision-making outside the training domain

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⚙️ Technical Details

Field	Description
Architecture	Qwen-style Transformer
Parameters	~7 Billion
Precision	bfloat16 / float16 (auto-detect)
Framework	PyTorch + safetensors
Tokenizer	Qwen tokenizer

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⚠️ Limitations

• May hallucinate answers outside scientific domains
• Requires GPU (≥16GB VRAM recommended) for efficient inference
• Does not guarantee factual correctness in all contexts

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🧩 Training Information

• Base Model: Qwen-7B (open-source base)
• Fine-tuned with: domain-specific corpus of physics and engineering text
• Merged into: full model weights (merged_vlm_physics)

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🏷️ License

Add your license here (for example, Apache-2.0 or MIT).
Ensure you comply with the original Qwen base model’s license.

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👨‍💻 Author

Developed and fine-tuned by Parani Dharan
Published at: Hugging Face — parani01

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💬 Citation

If you use this model, please cite it as:

@model{parani2025phyen,
  title={Phyen: Fine-tuned Qwen Model for Physics and Engineering Reasoning},
  author={Parani Dharan},
  year={2025},
  publisher={Hugging Face}
}