DCAgent / g1_top8_31600_32b

huggingface.co
Total runs: 14
24-hour runs: 1
7-day runs: 4
30-day runs: 3
Model's Last Updated: April 30 2026
text-generation

Introduction of g1_top8_31600_32b

Model Details of g1_top8_31600_32b

sft_g1_top8_31600_32b__Qwen3-32B

This model is a fine-tuned version of Qwen/Qwen3-32B on the /e/scratch/jureap59/raoof1/sft_data/hf_hub/datasets--DCAgent--g1_min_episodes_top8_31600_glm47_traces/snapshots/2f3f634e092d71520289dbcacafdc939d56558f9_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: 96
  • total_train_batch_size: 96
  • total_eval_batch_size: 768
  • 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: 5.0
Training results
Framework versions
  • Transformers 4.57.6
  • Pytorch 2.9.1+cu130
  • Datasets 4.7.0
  • Tokenizers 0.22.2

Runs of DCAgent g1_top8_31600_32b on huggingface.co

14
Total runs
1
24-hour runs
1
3-day runs
4
7-day runs
3
30-day runs

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g1_top8_31600_32b install

g1_top8_31600_32b is an open source model from GitHub that offers a free installation service, and any user can find g1_top8_31600_32b on GitHub to install. At the same time, huggingface.co provides the effect of g1_top8_31600_32b install, users can directly use g1_top8_31600_32b installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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