What the LLM hardware checker does
Answer "can my machine run this model?" without guessing. Detect your Mac or GPU (or pick one), and this tool shows which of its 27 open-weight models released 2024–2025, from SmolLM2 1.7B to DeepSeek-V3 671B (MoE) you can run smoothly, with realistic tokens/sec drawn from 80+ measured benchmarks rather than spec-sheet estimates.
How to check your hardware
- Let it detect your Mac/GPU, or select your setup.
- See which models fit and how fast they'll actually run.
- Use the tokens/sec estimate to judge whether it's fast enough for your use.
What decides whether a model runs
Two limits. First, memory: the model's weights (at your quantization) must fit in VRAM or unified memory, or it won't load. Second, memory bandwidth: once it fits, bandwidth sets how fast tokens come out. That's why an Apple M-series with lots of unified memory can run larger models than a GPU with less VRAM. To go the other way — pick hardware for a target model — use the hardware recommender; to decide whether to buy at all, the self-host vs API calculator; raw numbers live in the benchmark database.