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voxtral-vi-lora – AI Model by nvti | AlphaNeural AI
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nvti
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voxtral-vi-lora
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peft
safetensors
adapter
lora
transformers
mistralai/Voxtral-Mini-4B-Realtime-2602
apache-2.0
us
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voxtral-vi-lora
This model is a fine-tuned version of
mistralai/Voxtral-Mini-4B-Realtime-2602
on an unknown dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 2e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
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: linear
training_steps: 5
Training results
Framework versions
PEFT 0.18.1
Transformers 5.2.0
Pytorch 2.10.0
Datasets 4.3.0
Tokenizers 0.22.2
