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quantum-like-attention-framework-1.3b-untuned-validation

by Ignis Cogitationis IgnisCogitationis/quantum-like-attention-framework-1.3b-untuned-validation

This repository contains the model checkpoints, downstream evaluation scores, and pretraining convergence logs for the Quantum Like Attention Framework (Q.L.A.F) 1.3B configuration.

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Size4.0 GB
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AccessPublicly accessible
Monthly Downloads17.1k

Dataset Card

This repository contains the model checkpoints, downstream evaluation scores, and pretraining convergence logs for the Quantum Like Attention Framework (Q.L.A.F) 1.3B configuration. Pretraining is executed under the Odyssey Route-B Unified Engine with PyTorch Distributed Data Parallel (DDP) scaling support. $$\text{entropy\weight} = 0.03 \times \left(1.0 - \frac{\text{step}}{20000}\right)$$ This forces the router to explore uniform row distributions, preventing it from locking onto random rows early and guaranteeing convergence to the correct state updates for secret key retrieval. Evaluations are conducted across three independent seeds (42, 100, 2026). Accuracies are reported on MMLU (500…

Excerpt from the card by Ignis Cogitationis, licensed other.

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Repository
IgnisCogitationis/quantum-like-attention-framework-1.3b-untuned-validation
Publisher
Ignis Cogitationis
Task category
Not stated by the source
Tags
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Size category
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Languages
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Revision
908febc424e491332847e5785cda06a0bae1c8d6
Last updated
2026-09-18

Files

186 files, 4.0 GB in total.

Data32 files · 1.4 MB
Documentation61 files · 227.3 KB
Other91 files · 4.0 GB
Repository2 files · 2.5 KB
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