{
 "schema_version": 1,
 "generated": "2026-10-24",
 "id": "ggml-org-llama-cpp--run-bigger-models-with-quantization",
 "repo": "ggml-org/llama.cpp",
 "repo_url": "https://github.com/ggml-org/llama.cpp",
 "repo_slug": "ggml-org-llama-cpp",
 "title": "Fit a bigger model on limited hardware",
 "page_title": "llama.cpp quantization: run models bigger than your VRAM",
 "summary": "Use low-bit quantized GGUF models and CPU plus GPU hybrid inference to run models larger than your VRAM.",
 "who": "An ML hobbyist with an 8 GB GPU who wants to try a mid-size model.",
 "problem": "Full-precision models do not fit consumer GPUs.",
 "outcome": "A larger model running with partial GPU acceleration.",
 "steps": [
  "Install llama.cpp with the backend for your GPU (CUDA, Metal, Vulkan, HIP and more)",
  "Choose a 4-bit or lower quantized GGUF of the model",
  "Run it with llama cli and let layers spill to CPU",
  "Check the performance troubleshooting doc if it is slow"
 ],
 "agent_prompt": "Run a 4-bit GGUF of <model> with llama.cpp on a machine with <VRAM> GB VRAM using CPU+GPU hybrid inference. Report tokens per second and confirm the model loaded fully.",
 "agents": [
  "any"
 ],
 "difficulty": "Intermediate",
 "time": "30 minutes",
 "basis": "readme",
 "caveat": "Lower-bit quantization reduces memory use but can reduce output quality.",
 "category": "Software and DevOps",
 "tags": [
  "Software and DevOps"
 ],
 "lang": "c++",
 "requirements": [
  "macOS, Linux or Windows",
  "Enough RAM or VRAM for the chosen GGUF model"
 ],
 "risk": "none",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [],
 "best": false,
 "score": 0.8,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/ggml-org-llama-cpp/run-bigger-models-with-quantization/",
 "md": "https://dedupedai.com/use-cases/ggml-org-llama-cpp/run-bigger-models-with-quantization/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 The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong.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/ggml-org-llama-cpp--run-bigger-models-with-quantization.json",
 "api_version": "v1"
}