Train Your Own Coding Assistant with HugCoder — QLoRA & Flash Attention
AI Impact Summary
This project details the creation of HugCoder, a custom code LLM fine-tuned on Hugging Face's public repositories, enabling users to train their own personalized coding assistants. The focus on QLoRA and Flash Attention V2 significantly reduces the hardware requirements for fine-tuning, allowing for experimentation on a single A100 40GB GPU, while full fine-tuning on 8 A100 80GB GPUs is also supported. This capability unlocks the potential for enterprises to leverage tailored code generation models based on their proprietary codebase, improving developer productivity and code quality.
Affected Systems
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