---
license: apache-2.0
language:
- en
tags:
- TTT*,
- QAT,
---

![Bridging the information
gap.png](/static-proxy?url=https%3A%2F%2Fcdn-uploads.huggingface.co%2Fproduction%2Fuploads%2F6593502ca2607099284523db%2F2Uh-yodcWOcKfoHwL8Ze4.png)

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## "The Key" is a small and unique Spatial awareness/inference temperature dataset with "problem solving in diverse scenarios"( giving measured and appropriate inference in models that are too specific or obliterated) the inferred reflection in the form of a Haiku --This is experimental for QAT TTT* implementation--
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## For public Use please give credit to Intelligent Estate and Enjoy, please respond with results and if you achieve a "State Change" in your model. Seems to work very well for QAT methods bringing coding/obliterated models back to coherence.
 If training with Unsloth use the "Writing content training method but works best with Lamacpp" at Quantization time
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