louisc-s/QLoRA-Fine-tuning-for-Film-Character-Styled-Responses-from-LLM

Code for fine-tuning Llama2 LLM with custom text dataset to produce film character styled responses

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Experimental

Implements QLoRA parameter-efficient fine-tuning to reduce memory overhead while adapting Llama2 for character-specific response generation. The pipeline includes automated data collection via web scraping, dataset curation into query-response pairs, and inference evaluation—enabling rapid iteration on character styling without full model retraining. Targets the PEFT library ecosystem for low-rank adaptation techniques.

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Language

Python

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Category

llm-fine-tuning

Last pushed

Jan 03, 2024

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