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nexteleven-flagship-7b – AI Model by bizbots | AlphaNeural AI
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nexteleven-flagship-7b
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peft
safetensors
adapter
lora
transformers
text-generation
conversational
Qwen/Qwen2.5-7B-Instruct
apache-2.0
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nexteleven-flagship-7b
This model is a fine-tuned version of
Qwen/Qwen2.5-7B-Instruct
on an unknown dataset.
Model description
NextEleven Test
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: 0.0002
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
num_epochs: 4
Training results
Framework versions
PEFT 0.18.0
Transformers 4.57.3
Pytorch 2.9.1+cu128
Datasets 4.4.2
Tokenizers 0.22.1
