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LLaDA-planner_balanced – AI Model by sengi | AlphaNeural AI
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LLaDA-planner_balanced
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transformers
safetensors
llada
generated_from_trainer
custom_code
GSAI-ML/LLaDA-8B-Instruct
finetune
mit
endpoints_compatible
us
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LLaDA-planner_balanced
This model is a fine-tuned version of
GSAI-ML/LLaDA-8B-Instruct
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: 1e-05
train_batch_size: 4
eval_batch_size: 16
seed: 42
distributed_type: multi-GPU
optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine_warmup_with_min_lr
training_steps: 100000
Training results
Framework versions
Transformers 4.56.1
Pytorch 2.8.0+cu128
Datasets 4.4.1
Tokenizers 0.22.0
