{
 "schema_version": 1,
 "generated": "2026-10-26",
 "id": "nicorobinreal-llmspeed--check-local-llm-speed-before-buying",
 "repo": "nicorobinreal/llmspeed",
 "repo_url": "https://github.com/nicorobinreal/llmspeed",
 "repo_slug": "nicorobinreal-llmspeed",
 "title": "Check local LLM speed before buying hardware",
 "page_title": "How to check local LLM speed before buying hardware with Llmspeed",
 "summary": "Pick a GPU or Mac and model to see the streamed speed and whether it fits in memory.",
 "who": "A buyer or developer weighing a GPU or Mac purchase who wants to run a local model and needs to know if it will feel fast enough.",
 "problem": "Spec sheets do not show how a model will stream, how long the first token takes, or whether a quantization fits in memory.",
 "outcome": "A clear view of tokens per second, time to first token and memory fit for the exact hardware and model, with a trust label on each estimate.",
 "steps": [
  "Open https://llmspeed.dev in a browser.",
  "Pick a GPU or Mac from the list and choose a model.",
  "Check the memory fit result for each quantization: fits, needs partial offload to system RAM, or won't run.",
  "Watch the answer stream and note the wait before the first token for your typical prompt length.",
  "Check the Measured, Derived or Projected label to see how much to trust the number."
 ],
 "agent_prompt": "Using the llmspeed repo (github.com/nicorobinreal/llmspeed) at https://llmspeed.dev, check the simulated speed and memory fit for <model name> on <hardware name>. Expected output: tokens per second, time to first token, and fit status for each quantization. Verify that the trust label (Measured, Derived or Projected) is shown next to the speed figure.",
 "agents": [
  "any"
 ],
 "difficulty": "Beginner",
 "time": "15 minutes",
 "basis": "readme",
 "caveat": "Llmspeed gives estimates rather than guarantees, and drivers, engine versions and thermals can move real numbers by 10 to 30%.",
 "category": "Money",
 "tags": [
  "Money"
 ],
 "lang": "typescript",
 "requirements": [
  "A web browser to use llmspeed.dev",
  "For contributing a benchmark: a machine with llama.cpp and a .gguf model file",
  "For local development: npm"
 ],
 "risk": "none",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [],
 "best": true,
 "score": 1.0,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/nicorobinreal-llmspeed/check-local-llm-speed-before-buying/",
 "md": "https://dedupedai.com/use-cases/nicorobinreal-llmspeed/check-local-llm-speed-before-buying/index.md",
 "disclaimer": "Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked \"Seen in the wild\", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email hello@dedupedai.com and we will look at it promptly.",
 "api": "https://dedupedai.com/api/v1/usecases/nicorobinreal-llmspeed--check-local-llm-speed-before-buying.json",
 "api_version": "v1"
}