Parallelogram

Parallelogram

A strict CLI validator for fine-tuning datasets

tsenangthatayotlhe04
@tsenangthatayotlhe04
Published on May 31, 2026
Visit site
$0 MRR
0 PeerPush
🔥
Awarded
Trending Now
PeerPush

Details

Follow on
LinkedIn
Pricing
Free
Platforms
CLI

Discovery signals

How AI and people discover Parallelogram on PeerPush

PersistenceRead streakConsecutive days, counting back from today, that AI has read this listing every single day.
15 days

Read by AI every day

Read by AI every day for the last 15 days.
Search index 90dSearch indexTimes a search engine AI indexer, such as OAI-SearchBot, crawled this listing.
171 crawls

ChatGPT Search indexer

By OAI-SearchBot, the ChatGPT Search indexer, in the last 90 days.

About Parallelogram

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.​​​​​​​​​​​​​​​​

Screenshots

Screenshot 1 of Parallelogram

Reviews (1)

Average 3.0 out of 5

3.0

Based on 1 review

5
0
4
0
3
1
2
0
1
0

Comments (1)

dantecady
@dantecady

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.