Local Model Training & Fine-Tuning Guide

Thu, 23 Apr 2026 00:00:00 +0000

Local Model Training & Fine-Tuning Guide#

Guide for fine-tuning local LLMs (DeepSeek) using Hugging Face transformers, with emphasis on VRAM-efficient techniques for single-GPU setups.

Framework: Hugging Face transformers + Trainer API for fine-tuning
Model: deepseek-ai/deepseek-llm-7b (example model)
Efficiency: LoRA (Low-Rank Adaptation) + 4-bit quantization via bitsandbytes to fit large models on consumer GPUs

pip install torch transformers datasets accelerate peft bitsandbytes

Verify GPU: nvidia-smi — need CUDA 11.8+.