io.github.TheBaronofAI/vetted-consumer

name:io.github.thebaronofai/vetted-consumer

Will a local LLM run on your hardware? GGUF quant, buy-vs-rent-vs-API cost, used-GPU prices.

transport:: remote
credential class:: open

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Tools

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.
shallow
cheapest_hardware_for_model
The cheapest catalogued, buyable machine that runs a given model at Q4 with the requested context.
shallow
compare_hardware
Side-by-side memory, bandwidth, price, and (with a model) fit + tok/s for 2 to 4 machines.
shallow
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/.
shallow
get_used_gpu_prices
Current typical used-GPU prices for local-AI rigs (eBay Browse API median asking + hand-verified, monthly).
shallow
list_hardware
List the machines the tools know about (memory, bandwidth, price, buy link).
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list_models
List the local LLM model classes the tools know about (params, dense/MoE, native context).
shallow
recommend_hardware
Ranked list of catalogued, buyable machines that run a model at the requested context, cheapest first, with an optional budget cap.
shallow
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.
shallow

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Tool count and median score across every tool in this server’s corpus — honest in a way a single cherry-picked tool’s badge wouldn’t be.

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