Thinking-LQ-1.0 — live inference MedQA · holdout
Q
62-year-old, crushing chest pain radiating to the left arm. ST-elevation in leads II, III, aVF. Which artery is most likely occluded?
T
84%
MedQA accuracy
~20GB
checkpoint size
1.6×
faster than the 32B base
2
open checkpoints — Thinking-LQ & Coder-LQ
0
third-party APIs — private, on one L40

Thinking-LQ-1.0 on a held-out MedQA question. See the results →

ParaTrace v7 — real API results Strict setting
seminar-essay.txtAI-written

In today's rapidly evolving digital landscape, remote work has fundamentally reshaped how organizations operate, offering employees unprecedented flexibility. However, it is important to note that this shift also presents unique challenges, from maintaining team cohesion to ensuring clear communication. Ultimately, by fostering a culture of trust, organizations can unlock the full potential of a hybrid workforce.

diary-1892.txtHuman · 1892

In the evening we went round to the Cummings’, to have a few fireworks. It began to rain, and I thought it rather dull. One of my squibs would not go off, and Gowing said: “Hit it on your boot, boy; it will go off then.” I gave it a few knocks on the end of my boot, and it went off with one loud explosion, and burnt my fingers rather badly.

study-tips-edited.txtAI-written + attack

Effective time managment is esential for аcademic success. By prioritizing tasks, setting realistc gоals, and minimizing distractions, students can significantly improve thier productivity. Moreover, regular breaks and adequate slеep play a crucial role in maintaining fоcus and overall well-being. Ultimatly, developing these habits early not only enhances academic performance but also lays a strong foundation for lifelong lеarning and personal growth.

AI likelihood >99%
Likely AI-generated High confidence 100% of the text
Likely human-written High confidence 100% of the text
Likely AI-generated High confidence 100% of the text, despite 5 misspellings and 5 look-alike letters
Reading the text…
99.6%
AI text caught
0.84%
human texts flagged
96.0%
caught under attack

Replays of real ParaTrace v7 API results. See the benchmarks →

Models

Chaperone-Thinking-LQ-1.0

Open reasoning model: GPTQ + QLoRA on DeepSeek-R1-Distill-Qwen-32B. Medical and scientific corpora. Fully available on Hugging Face.

View results →
Chaperone-Coder-LQ-1.0

Quantized coding assistant for debugging and production snippets. Same deployability story: small enough for a single L40/L40s.

Hugging Face →
ParaTrace v7

Our own detector for AI-written English. Catches 99.6% of AI answers from 90 models, wrongly flags 0.84% of human texts, and flags no research paper from before ChatGPT.

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Applications

How the language line shows up for teams who never want to touch a checkpoint.

Chatbots

Conversational assistants on your data, privately hosted. Support teams stay on hard tickets; the model handles the rest.

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Specificity

Semantic analysis on specialist text — trends, sentiment, and extraction powered by Thinking-LQ, not a generic API.

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Different corpus, private deploy, or another language task?

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