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embedding-lite73
kennynakamura/embedding-lite73
embedding-lite73 is a machine learning model from kennynakamura. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
A huge-scale implementation of the hybrid architecture, built for generation tasks.
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Public
Updated Aug 25, 2026
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.py4.6 KB · 67%
At a glance
- License
- mit
- Access
- Public
- Created
- Aug 25, 2026
- Updated
- Aug 25, 2026
- SHA
- 898ccf35
Model card
From the Hugging Face model README
train.py
Model Overview
A huge-scale implementation of the hybrid architecture, built for generation tasks.
Architecture
- Architecture: hybrid
- Scale: huge
- Attention: grouped query
- Fusion strategy: tucker
- Task head: generation
- Activation: approx gelu
- Normalization: scalenorm
- Initialization: trunc normal
Training
- Optimizer: lamb
- LR scheduler: constant warmup
Files
train.py— main artifact of this repository
License
See the license field above.
- License
- mit
- Created
- Aug 25, 2026
- Updated
- Aug 25, 2026