Single-GPU Training — Topic Summaries
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Fine-tuning Llama 2 on Your Own Dataset | Train an LLM for Your Use Case with QLoRA on a Single GPU
Fine-tuning Llama 2 on a task-specific dataset can dramatically improve how well a small “base” model produces structured, useful outputs—especially...
Fine-Tuning Llama 3 on a Custom Dataset: Training LLM for a RAG Q&A Use Case on a Single GPU
Fine-tuning Meta’s Llama 3 8B Instruct on a domain-specific Q&A dataset can be done on a single GPU by combining 4-bit quantization with a LoRA-style...
Fine-tuning Llama 3.2 on Your Data with a single GPU | Training LLM for Sentiment Analysis
Fine-tuning Llama 3.2 (1B) for sentiment classification on a custom mental-health dataset can jump accuracy from roughly 30% to nearly 85% using a...