Ollama VRAM Guide: 8GB for 7B models, 16GB for 13B, 24GB+ for 34B

This guide details Ollama's VRAM requirements for running various large language models in 2026. It explains that Ollama automatically quantizes models to fit available VRAM, but insufficient memory leads to slow CPU offloading. Recommendations range from 8GB VRAM for 7B models to 48GB+ for 70B models, with 16GB suggested as a sweet spot for 7B-13B models and 24GB for 34B models. AI

IMPACT Provides practical guidance for users running local LLMs, helping them optimize hardware choices for performance and cost.

RANK_REASON This article provides a technical guide and recommendations for using existing LLM software (Ollama) with specific hardware, rather than announcing new AI capabilities or research.

Read on dev.to — LLM tag →

• CodeLlama
• DeepSeek-R1
• RTX 4060 Ti
• Llama 3
• LLM
• RTX 5070 Ti
• Ollama
• RTX 3090
• RTX 4090
• RTX 5090
• VRAM
• GTX 1650

• infra
• product

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