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README.md
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@@ -24,7 +24,6 @@ This model is a Mixture of Experts (MoE) made with [mergekit](https://github.com
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* [Q-bert/MetaMath-Cybertron-Starling](https://huggingface.co/Q-bert/MetaMath-Cybertron-Starling)
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* [WizardLM/WizardMath-7B-V1.1](https://huggingface.co/WizardLM/WizardMath-7B-V1.1)
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It follows the implementation of laserRMT @ https://github.com/cognitivecomputations/laserRMT
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Here, we are controlling layers checking which ones have lower signal to noise ratios (which are more subject to noise), to apply Laser interventions, still using Machenko Pastur to calculate this ratio.
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We intend to be the first of a family of experimentations being carried out @ Cognitive Computations.
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In this experiment we have observed very high truthfulness and high reasoning capabilities.
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* [Q-bert/MetaMath-Cybertron-Starling](https://huggingface.co/Q-bert/MetaMath-Cybertron-Starling)
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* [WizardLM/WizardMath-7B-V1.1](https://huggingface.co/WizardLM/WizardMath-7B-V1.1)
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It follows the implementation of laserRMT @ https://github.com/cognitivecomputations/laserRMT
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Here, we are controlling layers checking which ones have lower signal to noise ratios (which are more subject to noise), to apply Laser interventions, still using Machenko Pastur to calculate this ratio.
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We intend to be the first of a family of experimentations being carried out @ Cognitive Computations.
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In this experiment we have observed very high truthfulness and high reasoning capabilities.
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# Evals
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