Run This LLM
Searchable database of local LLM hardware requirements — VRAM, build specs and benchmarks for 295+ models
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runthisllm.comAbout Run This LLM
Run This LLM is a searchable database answering the two questions that block every local-AI attempt: what can I run on the hardware I own, and what hardware do I need for the model I want. Both directions are supported explicitly — search by hardware to see what fits, or search by model to get the build specification. Coverage runs to 295+ models spanning general chat, code generation, reasoning, vision, image generation, video generation, audio, embeddings and domain-specific medical, finance, legal and 3D models, including Llama, Qwen, DeepSeek, Mistral, Gemma, Phi, FLUX and Whisper. For each it publishes VRAM requirements, full build specs, performance estimates and benchmark scores. The value is in having those numbers in one comparable place: they otherwise live scattered across model cards, GitHub issues and Reddit threads, usually stated without the quantisation level or context length that determines whether the figure applies. The site is free to use with no account, and monetises through an adjacent service rather than a paywall — a custom build offering where you describe what you want to run and they spec, build and ship a machine optimised for those models, with budget bands from $3,000 to $50,000+. It is a solo project, with feedback and model requests handled directly by the maintainer.
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Key Features
Run This LLM Pros & Cons
✅ Pros
- +Free with no account, and answers the question in both directions
- +Consolidates numbers that are otherwise scattered and inconsistently stated
- +Monetises through an optional service rather than paywalling the data
⚠️ Cons
- −Requires JavaScript, so the database is not readable without it
- −Solo project with no stated update cadence as new models ship
- −Performance figures are estimates rather than measured on every configuration
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