Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
llavaphi2-2.7b-finetune-nm-mask-sparse-moe-4e-2k-2to4_20260227_225530 – AI Model by KKHYA | AlphaNeural AI
You can deploy this model and start earning money today!
KKHYA
/
llavaphi2-2.7b-finetune-nm-mask-sparse-moe-4e-2k-2to4_20260227_225530
like
0
transformers
pytorch
safetensors
nm_mask_moe_llava_phi
text-generation
generated_from_trainer
KKHYA/llavaphi2-2.7b-finetune
finetune
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
llavaphi2-2.7b-finetune-nm-mask-sparse-moe-4e-2k-2to4_20260227_225530
This model is a fine-tuned version of
KKHYA/llavaphi2-2.7b-finetune
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: 8
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 8
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: 0.03
num_epochs: 1.0
Training results
Framework versions
Transformers 4.51.0
Pytorch 2.5.1+cu124
Tokenizers 0.21.4
