rohan-paul/LLM-FineTuning-Large-Language-Models
Jupyter notebook collection demonstrating various LLM fine-tuning techniques using unsloth, PEFT, and QLORA.
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This repository provides practical notebooks for fine-tuning large language models including Llama-3, Mistral 7B, CodeLLaMA, and Yarn-Llama-2 variants. Each notebook pairs code implementations with YouTube video explanations. Topics covered include 4-bit quantized fine-tuning with unsloth, ORPO alignment training, custom dataset fine-tuning, and long-context inference with KV cache optimization.
Frequently asked
- What is rohan-paul/LLM-FineTuning-Large-Language-Models?
- Jupyter notebook collection demonstrating various LLM fine-tuning techniques using unsloth, PEFT, and QLORA.
- Is LLM-FineTuning-Large-Language-Models open source?
- Yes — rohan-paul/LLM-FineTuning-Large-Language-Models is an open-source project tracked on heatdrop.
- What language is LLM-FineTuning-Large-Language-Models written in?
- rohan-paul/LLM-FineTuning-Large-Language-Models is primarily written in Jupyter Notebook.
- How popular is LLM-FineTuning-Large-Language-Models?
- rohan-paul/LLM-FineTuning-Large-Language-Models has 576 stars on GitHub.
- Where can I find LLM-FineTuning-Large-Language-Models?
- rohan-paul/LLM-FineTuning-Large-Language-Models is on GitHub at https://github.com/rohan-paul/LLM-FineTuning-Large-Language-Models.