DCAgent / a1-stack_pytest_withtests

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30-day runs: -26
Model's Last Updated: March 26 2026
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Introduction of a1-stack_pytest_withtests

Model Details of a1-stack_pytest_withtests

sft_a1_stack_pytest_withtests__Qwen3-8B

This model is a fine-tuned version of Qwen/Qwen3-8B on the /e/scratch/jureap59/raoof1/sft_data/hf_hub/datasets--DCAgent--exp_rpt_stack-pytest-withtests_glm_4.7_traces_jupiter/snapshots/3cb0cc9d3d4680d376ca5c5ebe350f938c3f5081_thinking_preprocessed 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: 4e-05
  • train_batch_size: 1
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 16
  • total_train_batch_size: 16
  • total_eval_batch_size: 128
  • optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.98) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 7.0
Training results
Framework versions
  • Transformers 4.57.6
  • Pytorch 2.9.1+cu130
  • Datasets 4.7.0
  • Tokenizers 0.22.2

Runs of DCAgent a1-stack_pytest_withtests on huggingface.co

22
Total runs
0
24-hour runs
1
3-day runs
-21
7-day runs
-26
30-day runs

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a1-stack_pytest_withtests huggingface.co is an AI model on huggingface.co that provides a1-stack_pytest_withtests's model effect (), which can be used instantly with this DCAgent a1-stack_pytest_withtests model. huggingface.co supports a free trial of the a1-stack_pytest_withtests model, and also provides paid use of the a1-stack_pytest_withtests. Support call a1-stack_pytest_withtests model through api, including Node.js, Python, http.

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a1-stack_pytest_withtests install

a1-stack_pytest_withtests is an open source model from GitHub that offers a free installation service, and any user can find a1-stack_pytest_withtests on GitHub to install. At the same time, huggingface.co provides the effect of a1-stack_pytest_withtests install, users can directly use a1-stack_pytest_withtests installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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