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can-i-run-ai

v1.2.1

Published

Detecta seu hardware e mostra quais modelos de IA voce consegue rodar localmente

Vulnerabilities

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Links

Git

Maintainers

kc1tkc1t

Keywords

aillmollamahardwaregpuvramlocal-aidetector

Readme

can-i-run-ai

Detecta seu hardware e mostra quais modelos de IA você consegue rodar localmente — direto no terminal.

npm license

CLI zero-dependency que lê GPU, CPU e RAM da sua máquina, calcula um score, e lista os 3 melhores LLMs que rodam aí — com o comando ollama pull pronto pra copiar.

Versão web completa: canirunai.kc1t.com

Uso rápido

npx can-i-run-ai

Sem instalação. Roda direto.

Exemplo de saída

  ╔══════════════════════════════════════════════╗
  ║  CanIRunAI — Quais IAs seu PC roda?          ║
  ╚══════════════════════════════════════════════╝

  ✓ GPU  NVIDIA GeForce RTX 3060
  ✓ CPU  AMD Ryzen 5 5600X
  ✓ RAM  32 GB

  Score estimado: ████████████░░░░░░░░ 72/100

  Top 3 modelos pra você:
  ────────────────────────────────────────────

  🥇 Llama 3.1 8B (Chat)
     B  Boa fluência  ·  45 tok/s  ·  6GB VRAM
     $ ollama pull llama3.1:8b

  🥈 Qwen 2.5 Coder 7B (Code)
     B  Boa fluência  ·  42 tok/s  ·  5GB VRAM
     $ ollama pull qwen2.5-coder:7b

  🥉 Phi-3 Mini (Leve)
     A  Excelente   ·  80 tok/s  ·  3GB VRAM
     $ ollama pull phi3:mini

Instalação global (opcional)

npm install -g can-i-run-ai
can-i-run-ai

Flags

| Flag | O que faz | |---|---| | --no-open | Não abre o navegador no fim | | --json | Saída em JSON pra usar em scripts |

npx can-i-run-ai --json
{
  "gpu": { "raw": "NVIDIA GeForce RTX 3060", "id": "rtx-3060" },
  "cpu": { "raw": "AMD Ryzen 5 5600X", "id": "ryzen-5-5600x" },
  "ram": 32,
  "score": 72,
  "top3": [...],
  "url": "https://canirunai.kc1t.com?gpu=rtx-3060&ram=32&cpu=ryzen-5-5600x"
}

Como funciona

  • Windows: wmic pra GPU/CPU/RAM
  • Linux: lspci, /proc/cpuinfo, /proc/meminfo
  • macOS: system_profiler, sysctl

Sem dependências externas — só Node.js built-ins (child_process, os).

O score combina VRAM da GPU, RAM total, e bandwidth da memória pra estimar tokens/segundo. O catálogo de modelos é atualizado junto com a versão web.

Requisitos

  • Node.js 18+
  • Acesso a comandos de sistema (wmic / lspci / system_profiler)

Links

License

MIT © Kc1t