Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
qwen-2.5-7b-distilled-codefeedback – AI Model by MaxSchulten | AlphaNeural AI
You can deploy this model and start earning money today!
MaxSchulten
/
qwen-2.5-7b-distilled-codefeedback
like
0
transformers
safetensors
qwen2
text-generation
generated_from_trainer
conversational
Qwen/Qwen2.5-Coder-7B-Instruct
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
student_distilled
This model is a fine-tuned version of
Qwen/Qwen2.5-Coder-7B-Instruct
on the None 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: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 64
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 100
num_epochs: 3
Training results
Framework versions
Transformers 4.57.6
Pytorch 2.9.0+cu128
Datasets 4.5.0
Tokenizers 0.22.2
