ilyyeees/byt5-leetspeak-decoder
translation model by ilyyeees
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Model card & documentation
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V3 is currently broken, Use V2-legacy branch The definitive byte-level translator for leetspeak, internet slang, and visual character obfuscation. Built on google/byt5-base, V3 represents a major architectural shift from previous versions. It utilizes Curriculum Learning and Adversarial Filtering to solve the complex context ambiguity between leetspeak numbers (e.g., "2" meaning "to") and actual quantities (e.g., "2 cats"). V3 is the first model in this series to perfectly distinguish between numbers used as letters and numbers used as quantities within the same sentence. ##Training Methodology V3 was trained on 2x NVIDIA RTX 5090s using a custom Reverse-Corruption Pipeline: Clean Base: High-quality English from WikiText and ELI5 to ground the model in correct grammar. LLM Adversarial Corruption: We used Qwen 2.5 72B to generate "Hard Negatives"—specific leetspeak patterns that previous model versions failed to decode. Curriculum Learning: The model was trained in phases of increasing difficulty, starting…
Read the full model card ↗ · Preview checked 2026-10-30T06:55:25.757Z
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Model overview
ilyyeees/byt5-leetspeak-decoder is a translation model repository published by ilyyeees on Hugging Face. A library was not reported.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- translation
- Library
- Not reported
- Recent downloads (30 days)
- 29,022
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 581,653,248
- Architecture
- T5ForConditionalGeneration
- License
- mit
- Access
- Not gated by Hugging Face
- Created
- 2025-12-25T17:09:41.000Z
- Last modified
- 2026-03-17T00:43:11.000Z
Compatibility and lineage
Reported languages: en
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:54:35.191Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.