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README.md

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+---
+language:
+- en
+license: apache-2.0
+tags:
+- qwen2.5
+- fine-tuned
+- lora
+- chemistry
+base_model: Qwen/Qwen2.5-14B-Instruct
+---
+
+# qwen-quantum
+
+This model is a fine-tuned version of [Qwen/Qwen2.5-14B-Instruct](https://huggingface.co/Qwen/Qwen2.5-14B-Instruct) 
+using LoRA (Low-Rank Adaptation) on a chemistry dataset.
+
+## Model Description
+
+Fine-tuned Qwen2.5-14B model for chemistry domain tasks.
+
+## Available Formats
+
+- **GGUF**: `qwen_quantum_merged-q4_k_m.gguf` - Quantized for efficient inference with llama.cpp
+
+## Usage
+
+### Using GGUF (with llama.cpp, Ollama, LM Studio, etc.)
+
+```bash
+# Download the GGUF file
+huggingface-cli download Kylan12/qwen-quantum qwen_quantum_merged-q4_k_m.gguf
+
+# Use with llama.cpp
+./llama.cpp/build/bin/llama-cli -m qwen_quantum_merged-q4_k_m.gguf -p "Your prompt here"
+```
+
+### Using HuggingFace Transformers
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model = AutoModelForCausalLM.from_pretrained("Kylan12/qwen-quantum")
+tokenizer = AutoTokenizer.from_pretrained("Kylan12/qwen-quantum")
+
+prompt = "What is the IUPAC name for..."
+inputs = tokenizer(prompt, return_tensors="pt")
+outputs = model.generate(**inputs, max_length=200)
+print(tokenizer.decode(outputs[0]))
+```
+
+## Training Details
+
+- **Base Model**: Qwen/Qwen2.5-14B-Instruct
+- **Training Method**: LoRA (Low-Rank Adaptation)
+- **Dataset**: camel-ai/chemistry
+- **LoRA Rank**: 16
+- **LoRA Alpha**: 16
+- **Target Modules**: q_proj, k_proj, v_proj, o_proj, gate_proj, up_proj, down_proj
+
+## 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:
+
+```bibtex
+@misc{qwen_quantum,
+  author = {Your Name},
+  title = {qwen-quantum},
+  year = {2025},
+  publisher = {HuggingFace},
+  url = {https://huggingface.co/Kylan12/qwen-quantum}
+}
+```
+
+## License
+
+This model is released under the Apache 2.0 license, consistent with the base Qwen model.