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Dev tools · February 26, 2025

IB

I built a tool to check if your computer can run LLMs locally

Built a simple web app that tells you which open-source LLMs will work on your hardware. It auto-detects your specs, shows compatible models from Hugging Face, gives realistic performance estimates (tokens/sec), and recommends quantization settings. You can also manually input specs to see "what if I upgraded my RAM?" Made this after wasting time downloading giant models only to find they crawled on my hardware. Hope it saves you some frustration!

Does the same job

all alternatives →
  • LM Studio2025 · ▲209

    Discover, download, and run local LLMs (incl. DeepSeek R1)

  • SelfHostLLM2025 · ▲134

    Calculate the GPU memory you need for LLM inference

  • Shoehorn, a library to quantize an LLM to fit your Mac's VRAM23d ago · github.com · ▲6

    I made this after seeing someone posit the idea online yesterday over lunch then spent some time refining it. So far it's pretty impressive IMO! Right now I am running Qwen3-30B-A3B on my 24gb unified memory m4 MacBook Pro at 50 tok/sec and this should definitely not be working for such a large model on my middling hardware. Things are detailed in the README to get up and running and DESIGN.md has details on all the choices and such made along the way.

  • QuickCompare by TrismikApr 2026 · ▲231

    Compare LLMs on your data, measure, and pick the best.

  • Open-source calculator for "will my GPU run this LLM?"13d ago · jaeseok614.github.io · ▲5

    LLM·RAG·VLM·아바타 워크로드를 GPU·CPU·RAM·스토리지·네트워크 구성과 경제형·권장형·확장형 견적 3안으로 변환하는 오픈소스 AI 인프라 산정 도구

  • IB
    I built the LLM Comparison Tool I wish existed2025 · llm-stats.com · ▲7

    I was overspending on GPT-4o. It was really hard to compare different models I could switch to, so I built this LLM comparison tool. It shows leaderboards, pricing, and performance data across 100+ LLMs (including all major providers and open-source models). Key features: - Live pricing comparisons - Benchmark Scores (MMLU, HumanEval, GPQA, etc.) - Context length vs cost analysis - Speed/throughput tests across providers - Quality vs price visualizations - Open source (all data verifiable) Try it out: https://llmstats.com I'd like to know your opinion :) Tech stack: Next.js,…

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