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Vetted Consumer
Straight local-LLM hardware advice, cross-checked across reviews and the people who own it. We aggregate real owner reports, independent lab tests, and primary sources; we do not test first-hand and say so. The site is non-commercial: no affiliate links, no sponsorship, no payment from any brand we cover.
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-26T04:51:27.743Z. Cached copy · Source on vettedconsumer.com
# Vetted Consumer
> Straight local-LLM hardware advice, cross-checked across reviews and the people who own it. We aggregate real owner reports, independent lab tests, and primary sources; we do not test first-hand and say so. The site is non-commercial: no affiliate links, no sponsorship, no payment from any brand we cover.
Vetted Consumer is a focused authority on hardware for running large language models locally: unified-memory machines, GPUs, AI mini PCs and servers, edge accelerators, and the software that runs them. We also publish free interactive tools for sizing hardware to a model, and expose the same tools to AI agents.
## Tools
- [Can I run it? calculator](https://vettedconsumer.com/can-i-run-it/): model size, quantization, and context to the memory math plus the hardware that fits, including your own machine
- [Quant picker](https://vettedconsumer.com/quant-picker/): which GGUF quant to download for your machine, with file size and context budget
- [Cost calculator](https://vettedconsumer.com/cost-calculator/): buy hardware vs rent cloud GPUs vs use an API, with break-even math for your usage
- [Hardware finder](https://vettedconsumer.com/hardware-finder/): answer 4 questions, get 3 straight hardware picks
- [Latest open models](https://vettedconsumer.com/latest-models/): every lab's newest open-weight releases, auto-updated daily (raw JSON feed: /models-feed.json)
- [Master hardware chart](https://vettedconsumer.com/all-hardware/): all tracked machines in one sortable table
- [Used GPU price index](https://vettedconsumer.com/gpu-price-index/): typical used prices recorded monthly (raw JSON data: /gpu-price-history.json)
## For AI agents (callable tools, not just readable content)
- [MCP server](https://vettedconsumer.com/mcp-server/): how to connect, the nine tools, real example responses. Endpoint: https://vettedconsumer.com/mcp (Streamable HTTP, no auth). Server card: /.well-known/mcp/server-card.json
- [REST API](https://vettedconsumer.com/api): the same tools over plain HTTP, e.g. /api/can-i-run-it?model=Llama%2070B&hardware=rtx-3090&context=8192
## About this site
- [Methodology](https://vettedconsumer.com/methodology/): how we research, weight sources, and score hardware
- [How we research](https://vettedconsumer.com/how-we-research/): sources, verification, and what we will not claim
- [Corrections](https://vettedconsumer.com/corrections/): a public, dated log of fixes
- [Disclosure](https://vettedconsumer.com/disclosure/): non-commercial: no affiliate, referral, sponsorship, or review units
- [Glossary](https://vettedconsumer.com/glossary/): local-LLM terms in plain English
## Guides: how local LLMs work
- [Why Is My Local LLM So Slow? The 6 Bottlenecks, in Order](https://vettedconsumer.com/why-is-my-local-llm-slow-the-6-bottlenecks-in-order/): A slow local LLM is almost always one of six things, and they have an order of impact: the model doesn't fit, low bandwidth, a too-dense model, slow prefill, the wrong runtime,
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