Coding Tools
Guide to Running AI Models Locally with LM Studio and Ollama
Lev Selectorhigh confidence
Why it matters
- →Enables privacy-focused AI usage without data leaving the device
- →Reduces dependency on cloud API costs and internet connectivity
- →Highlights specific hardware thresholds (RAM/VRAM) for local deployment
Tools such as LM Studio and Ollama allow users to download and execute compatible AI models directly on their local devices, eliminating the need for cloud connectivity. Hardware requirements vary by model size; quantized models with 7–8 billion parameters typically require approximately 8 GB of RAM, while larger models may demand 32 GB or more. Although a dedicated GPU is not strictly necessary, possessing VRAM significantly accelerates generation speeds compared to CPU-only inference.
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