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VecGlypher-27b-it
VecGlypher/VecGlypher-27b-it
VecGlypher-27b-it is a image-text-to-text model from VecGlypher. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as other.
This is the model weight of VecGlypher https://github.com/xk-huang/VecGlypher.
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At a glance
- Task
- Image-Text-to-Text
- Library
- transformers
- License
- other
- Model type
- gemma3
- Access
- Public
- Created
- Feb 25, 2026
- Updated
- Feb 25, 2026
- SHA
- 025a3ad4
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Base models
Model card
From the Hugging Face model README
This is the model weight of VecGlypher https://github.com/xk-huang/VecGlypher.
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 32
- gradient_accumulation_steps: 2
- total_train_batch_size: 128
- total_eval_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.01
- num_epochs: 3.0
Framework versions
- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1
- Task
- Image-Text-to-Text
- Library
- transformers
- Type
- gemma3
- License
- other
- Created
- Feb 25, 2026
- Updated
- Feb 25, 2026