vetted-consumer

Reviewed 1h ago.

• tools: 9 tools scanned
• metadata: scanned

No findings.

Tools (9)

• can_i_run_it

  Will a given local LLM run on given hardware? Returns fit, the best quant that fits, theoretical tok/s, and real owner-measured tok/s where available.

• recommend_quant

  Which GGUF quantization to download for a model on given hardware: the full quant ladder with file size, max context, and tok/s for each, plus the recommended pick.

• cheapest_hardware_for_model

  The cheapest catalogued, buyable machine that runs a given model at Q4 with the requested context.

• list_models

  List the local LLM model classes the tools know about (params, dense/MoE, native context).

• list_hardware

  List the machines the tools know about (memory, bandwidth, price, buy link).

• cost_compare

  Buy vs rent vs API cost to run a model locally: monthly/1y/3y totals, break-even months, and the energy cost per 1M tokens. Same math as /cost-calculator/.

• recommend_hardware

  Ranked list of catalogued, buyable machines that run a model at the requested context, cheapest first, with an optional budget cap.

• get_used_gpu_prices

  Current typical used-GPU prices for local-AI rigs (eBay Browse API median asking + hand-verified, monthly).

• compare_hardware

  Side-by-side memory, bandwidth, price, and (with a model) fit + tok/s for 2 to 4 machines.