How to Find Hardware Requirements for a Specific Model on Run This LLM

Updated

Use the "I have a model — What do I need?" search path on runthisllm.com, then look up your model by name in the 295+ model database. The result page gives you build specs, VRAM requirements, performance estimates, and benchmark scores for that model. This works for models across chat, code, reasoning, vision, image, video, audio, embeddings, and 3D categories — including Llama, Qwen, DeepSeek, Mistral, Gemma, Phi, FLUX, and Whisper.

Step-by-step lookup

  1. Open runthisllm.com in a browser with JavaScript enabled. The site states plainly that the tool requires JavaScript; with it disabled you will see only the page shell and no search interface.
  2. Choose the "I have a model" path. The homepage presents two entry points: "I have hardware — What can I run?" and "I have a model — What do I need?" The second is the one that answers a model-first question.
  3. Search by model name. Enter the model you plan to run, e.g. a specific Llama, Qwen, or FLUX variant. Match the exact name and size variant where possible — a 7B and a 70B version of the same family have very different requirements.
  4. Read the model's spec page. Expect four things: full build specs, VRAM requirements, performance estimates, and benchmark scores.
  5. Sanity-check against your own machine. Compare the listed VRAM figure with your GPU's usable memory, and treat the performance estimates as guidance for the hardware class described, not a guarantee for your exact setup.

What each result field tells you

Field What it answers How to use it
Build specs What the model is and what it takes to run it Confirm you have the right variant and a workable setup
VRAM requirements Memory floor for the model Compare with your GPU memory before downloading anything
Performance estimates Expected speed on given hardware Judge whether the experience will be usable for your task
Benchmark scores Model quality on standard tests Decide between two models that both fit your hardware

Common sticking points

  • Blank page or no results: JavaScript is off or blocked. Enable it and reload.
  • Model not found: the database covers 295+ models but is not exhaustive. Try the family name, then the size variant, and check the category filter (e.g. image generation vs. general chat) if the name is ambiguous.
  • Confusing two similar names: quantized or community fine-tunes may not map one-to-one to a listed entry. Use the closest listed base model as your reference point and expect some variance.
  • Reading VRAM as a hard rule: the listed figure is a requirement estimate for the model as described. Your context length, runtime, and quantization choices can shift actual memory use.

When this lookup is the right tool

Use Run This LLM when you have already picked a model and need to know whether your hardware can run it, or what to buy. If you instead have fixed hardware and want suggestions, start from the "I have hardware" path. If you are still choosing between models, look up two or three candidates and compare their VRAM requirements and benchmark scores side by side before committing to a download.