qwen-25-14b-instruct-quantum-physics

This model is a fine-tuned version of Qwen/Qwen2.5-14B-Instruct using LoRA (Low-Rank Adaptation) on a quantum physics dataset. This fine-tuned version scores 41.39% on a quantum physics test set, up from 24% on the base Qwen 2.5 14B Instruct model using standard Supervised Fine-Tuning (SFT)

Model Description

Fine-tuned Qwen2.5-14B model for quantum physics domain tasks.

Available Formats

• GGUF: _temp_merged_qwen-25-14b-instruct-14b-quantum-physics-20260125-007.fp16.gguf - FP16 format for inference with llama.cpp

Usage

Using GGUF (with llama.cpp, Ollama, LM Studio, etc.)

# Download the GGUF file
huggingface-cli download Kylan12/qwen-25-14b-instruct-quantum-physics _temp_merged_qwen-25-14b-instruct-14b-quantum-physics-20260125-007.fp16.gguf

# Use with llama.cpp
./llama.cpp/build/bin/llama-cli -m _temp_merged_qwen-25-14b-instruct-14b-quantum-physics-20260125-007.fp16.gguf -p "Your prompt here"

Using HuggingFace Transformers

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("Kylan12/qwen-25-14b-instruct-quantum-physics")
tokenizer = AutoTokenizer.from_pretrained("Kylan12/qwen-25-14b-instruct-quantum-physics")

prompt = "Calculate the expectation value of the Pauli Z operator for a qubit in the state |+⟩"
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(**inputs, max_length=200)
print(tokenizer.decode(outputs[0]))

Training Details standard Supervised Fine-Tuning (SFT)

• Base Model: Qwen/Qwen2.5-14B-Instruct
• Training Method: LoRA (Low-Rank Adaptation)
• LoRA Rank: 16
• LoRA Alpha: 16
• Target Modules: q_proj, k_proj, v_proj, o_proj, gate_proj, up_proj, down_proj

Evaluation

Metric	Base Model	Fine-Tuned
Overall	24.0%	41.39%

Limitations

This model inherits the limitations of the base Qwen2.5-14B-Instruct model and may have additional domain-specific limitations due to the fine-tuning dataset.

Citation

If you use this model, please cite:

@misc{qwen_25_14b_instruct_quantum_physics,
  author = {Kylan12},
  title = {qwen-25-14b-instruct-quantum-physics},
  year = {2025},
  publisher = {HuggingFace},
  url = {https://huggingface.co/Kylan12/qwen-25-14b-instruct-quantum-physics}
}

License

This model is released under the Apache 2.0 license, consistent with the base Qwen model.