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g1_diverse_tezos_top4_1000_32b
DCAgent3/g1_diverse_tezos_top4_1000_32b
g1_diverse_tezos_top4_1000_32b is a text generation model from DCAgent3. 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
- May 7, 2026
- Updated
- May 7, 2026
- SHA
- 43e101c7
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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_diverse_tezos_top4_1000_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--DCAgent2--g1_diverse_tezos_top4_1000_glm47_traces/snapshots/88d7a832cffea52c132258e1b53b8e5cd665e0e3 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: 48
- total_train_batch_size: 48
- total_eval_batch_size: 384
- 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
- Task
- Text Generation
- Library
- transformers
- Type
- qwen3
- License
- other
- Created
- May 7, 2026
- Updated
- May 7, 2026