How to Properly Verify Self-Hosted LLM Tool Specs Before Integration

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Many self-hosted LLM tools on GitHub carry inaccurate or misleading documentation, mixing marketing claims with incomplete technical details on RAM, GPU, licensing, and offline capability. Developers often discover these discrepancies only after spending hours integrating a tool, when it crashes or underperforms on their hardware. To verify true hardware requirements, experts recommend cross-referencing GitHub Issues for real user reports, checking CI/CD configuration files, and hunting for community benchmarks rather than relying on README figures. License accuracy should be confirmed by reading the actual LICENSE file in the repo root, which is legally binding and may contradict the project's marketing page. Offline capability claims also require scrutiny, as some tools still require internet access for authentication, telemetry, or initial model downloads despite being labeled offline-capable.

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