Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
Qwen3-8B-ScaleSWE-Distilled-Full-SFT – AI Model by charlie-li | AlphaNeural AI
You can deploy this model and start earning money today!
charlie-li
/
Qwen3-8B-ScaleSWE-Distilled-Full-SFT
like
0
transformers
safetensors
qwen3
text-generation
llama-factory
full
generated_from_trainer
conversational
Qwen/Qwen3-8B
finetune
other
text-generation-inference
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
Qwen3-8B-ScaleSWE-Distilled-Full-SFT
This model is a fine-tuned version of
Qwen/Qwen3-8B
on the qwopus_mix3_scaleswe_data_distilled 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: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 8
total_eval_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: linear
lr_scheduler_warmup_ratio: 0.05
num_epochs: 2.0
Training results
Framework versions
Transformers 4.57.1
Pytorch 2.9.1+cu128
Datasets 4.0.0
Tokenizers 0.22.2
