vetted-consumer
Will a local LLM run on your hardware?
От сообщества: Добавлен пользователем или импортирован; проверьте владельца перед подключениемРаботаетБез входаГлобальныйБесплатноТолько чтение
Что умеет
Какие данные видит
Нужен ли аккаунт
Не нужен: сервер работает без входа
Will a local LLM run on your hardware? GGUF quant, buy-vs-rent-vs-API cost, used-GPU prices.
Список инструментов сервера (9)
Технические названия из tools/list. Нужны только разработчикам.
| 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. |