
Parallelogram
A strict CLI validator for fine-tuning datasets
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Parallelogram is a strict CLI validator for LLM fine-tuning datasets. It catches every structural failure mode that silently kills training runs — malformed role sequences, empty turns, context window violations, duplicates, and encoding corruption — before any compute is spent. No quality scores, no warnings, no partial passes. If it exits 0, your training run will not fail because of data. Free, open source, runs entirely offline. Apache 2.0.
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Learned the hard way that one malformed role sequence can waste a whole fine-tune run. A strict pass/fail CLI that catches context window violations and empty turns before GPU time starts — offline and Apache 2.0 — is smart.