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README.md

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 This model is a fine tuned [meta-llama/Llama-3.2-3B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct) on a synthetic dataset of C++ → Python code translations from Codeforces.
 
 📦 GitHub repo: [DemoVersion/cf-llm-finetune](https://github.com/DemoVersion/cf-llm-finetune)
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 📑 Dataset Creation [DATASET.md](https://github.com/DemoVersion/cf-llm-finetune/blob/main/DATASET.md)
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 📑 Training [TRAIN.md](https://github.com/DemoVersion/cf-llm-finetune/blob/main/TRAIN.md)  
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 📚 Dataset on Hugging Face: [demoversion/cf-cpp-to-python-code-generation](https://huggingface.co/datasets/demoversion/cf-cpp-to-python-code-generation)
 
 For dataset generation, training, and inference check the [Github repo](https://github.com/DemoVersion/cf-llm-finetune).
 
+**📚 Main medium article**: [Toward fine-tuning Llama 3.2 using PEFT for Code Generation](https://medium.com/@haddadhesam/towards-fine-tuning-llama-3-2-using-peft-for-code-generation-63e3991c26db)
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+**📚 Medium article for inference with GGUF format**: [How to inference with GGUF format](https://haddadhesam.medium.com/one-file-to-rule-them-all-gguf-for-local-llm-testing-and-deployment-208b85934434)
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 ## Model description
 
 A lightweight LLaMA 3.2 model fine-tuned for competitive programming code translation, from ICPC-style C++ to Python using LoRA adapters.