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g1_weighted_100k_32b_cont
DCAgent/g1_weighted_100k_32b_cont
g1_weighted_100k_32b_cont is a text generation model from DCAgent. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as other.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- other
- Model type
- qwen3
- Access
- Public
- Created
- Apr 28, 2026
- Updated
- Apr 28, 2026
- SHA
- cd7f1a7e
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Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
sft_g1_weighted_100k_32b_cont__Qwen3-32B
This model is a fine-tuned version of DCAgent/g1_weighted_100k_32B_step4400 on the /e/scratch/jureap59/raoof1/sft_data/hf_hub/datasets--DCAgent--g1_min_episodes_e1_weighted_top4_100k_glm47_traces/snapshots/bfc1346c9f8ed847f8803c7e766846c69f1de24a_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: 2.5
Training results
Framework versions
- Transformers 4.57.6
- Pytorch 2.9.1+cu130
- Datasets 4.7.0
- Tokenizers 0.22.2
- Task
- Text Generation
- Library
- transformers
- Type
- qwen3
- License
- other
- Created
- Apr 28, 2026
- Updated
- Apr 28, 2026