https://localllmguide.com/tools/ram-vram-calculator https://localllmguide.com/images/seo/check-hardware-ram-fit/reference-16x9.webp LocalLLMGuide RAM fit reference showing conservative local LLM model fit for 8 GB, 16 GB, 32 GB, and 64 GB systems. Conservative RAM fit guide for local LLMs using Q4_K_M assumptions. Actual fit depends on context length, runtime, quantization, and GPU offload. https://localllmguide.com/images/seo/check-hardware-ram-fit/preview-16x9.webp LocalLLMGuide RAM fit reference showing conservative local LLM model fit for 8 GB, 16 GB, 32 GB, and 64 GB systems. Conservative RAM fit guide for local LLMs using Q4_K_M assumptions. Actual fit depends on context length, runtime, quantization, and GPU offload. https://localllmguide.com/images/seo/check-hardware-vram-fit/reference-16x9.webp LocalLLMGuide VRAM fit reference showing conservative local AI model fit for 4 GB through 24 GB GPU VRAM tiers. Conservative GPU VRAM fit guide for local AI. More VRAM helps, but runtime, quantization, and context length still change results. https://localllmguide.com/images/seo/check-hardware-vram-fit/preview-16x9.webp LocalLLMGuide VRAM fit reference showing conservative local AI model fit for 4 GB through 24 GB GPU VRAM tiers. Conservative GPU VRAM fit guide for local AI. More VRAM helps, but runtime, quantization, and context length still change results. https://localllmguide.com/models https://localllmguide.com/images/seo/model-size-fit/reference-16x9.webp LocalLLMGuide model size reference comparing 1B to 3B, 7B to 9B, 13B to 14B, and 30B plus local AI model classes. A conservative local model size guide showing why 7B to 9B models are often the most practical starting point. https://localllmguide.com/images/seo/model-size-fit/preview-16x9.webp LocalLLMGuide model size reference comparing 1B to 3B, 7B to 9B, 13B to 14B, and 30B plus local AI model classes. A conservative local model size guide showing why 7B to 9B models are often the most practical starting point. https://localllmguide.com/hardware https://localllmguide.com/images/seo/hardware-device-fit/reference-16x9.webp LocalLLMGuide device fit reference comparing MacBook Air, MacBook Pro, Windows laptop, and RTX desktop choices for local AI. Device fit depends on workload, RAM, VRAM, thermals, and budget. Do not buy hardware for local AI until the use case is clear. https://localllmguide.com/images/seo/hardware-device-fit/preview-16x9.webp LocalLLMGuide device fit reference comparing MacBook Air, MacBook Pro, Windows laptop, and RTX desktop choices for local AI. Device fit depends on workload, RAM, VRAM, thermals, and budget. Do not buy hardware for local AI until the use case is clear. https://localllmguide.com/compare https://localllmguide.com/images/seo/compare-ollama-lm-studio/reference-16x9.webp LocalLLMGuide comparison image showing Ollama as a terminal and API runtime and LM Studio as an easier desktop GUI for local AI. Ollama is better for API-driven and repeatable local AI workflows. LM Studio is usually easier for a first desktop run. https://localllmguide.com/images/seo/compare-ollama-lm-studio/preview-16x9.webp LocalLLMGuide comparison image showing Ollama as a terminal and API runtime and LM Studio as an easier desktop GUI for local AI. Ollama is better for API-driven and repeatable local AI workflows. LM Studio is usually easier for a first desktop run. https://localllmguide.com/images/seo/compare-ollama-open-webui/reference-16x9.webp LocalLLMGuide comparison image explaining that Ollama is the local model runtime and Open WebUI is a browser interface often used on top of Ollama. Ollama and Open WebUI are usually complements: Ollama runs the local models, while Open WebUI provides the browser-based interface. https://localllmguide.com/images/seo/compare-ollama-open-webui/preview-16x9.webp LocalLLMGuide comparison image explaining that Ollama is the local model runtime and Open WebUI is a browser interface often used on top of Ollama. Ollama and Open WebUI are usually complements: Ollama runs the local models, while Open WebUI provides the browser-based interface. https://localllmguide.com/ https://localllmguide.com/images/seo/home-local-ai-stack/reference-16x9.webp Local AI Stack reference graphic showing the local AI workflow from device and runtime to model, workflow, and privacy boundary. Local AI Stack overview: choose hardware, compare runtimes, pick models, and keep the full workflow local. https://localllmguide.com/images/seo/home-local-ai-stack/preview-16x9.webp Local AI Stack reference graphic showing the local AI workflow from device and runtime to model, workflow, and privacy boundary. Local AI Stack overview: choose hardware, compare runtimes, pick models, and keep the full workflow local. https://localllmguide.com/guides/best-local-llm-16gb-ram https://localllmguide.com/images/seo/best-local-llm-16gb-ram/reference-16x9.webp 16GB RAM fit guide showing safe local LLM starters, tight-fit models, and models to avoid on normal 16GB setups. Conservative 16GB RAM guidance: small and 7B to 8B models are safer, 13B to 14B models can be tight, and 30B plus models are usually poor fits. https://localllmguide.com/images/seo/best-local-llm-16gb-ram/preview-16x9.webp 16GB RAM fit guide showing safe local LLM starters, tight-fit models, and models to avoid on normal 16GB setups. Conservative 16GB RAM guidance: small and 7B to 8B models are safer, 13B to 14B models can be tight, and 30B plus models are usually poor fits. https://localllmguide.com/compare/ollama-vs-lm-studio https://localllmguide.com/images/seo/ollama-vs-lm-studio/reference-16x9.webp Ollama versus LM Studio comparison graphic showing Ollama as better for automation and APIs and LM Studio as better for easier desktop testing. Ollama is strongest for repeatable local workflows and APIs; LM Studio is strongest for easier desktop model browsing and testing. https://localllmguide.com/images/seo/ollama-vs-lm-studio/preview-16x9.webp Ollama versus LM Studio comparison graphic showing Ollama as better for automation and APIs and LM Studio as better for easier desktop testing. Ollama is strongest for repeatable local workflows and APIs; LM Studio is strongest for easier desktop model browsing and testing.