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ui_tars_7b_easyr1_10k_hard_qwen7b_easy_gta1-4MP
mlfoundations-cua-dev/ui_tars_7b_easyr1_10k_hard_qwen7b_easy_gta1-4MP
ui_tars_7b_easyr1_10k_hard_qwen7b_easy_gta1-4MP is a image-text-to-text model from mlfoundations-cua-dev. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. 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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16.6 GB on disk
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At a glance
- Task
- Image-Text-to-Text
- Library
- transformers
- License
- other
- Model type
- qwen2_5_vl
- Access
- Public
- Created
- Aug 26, 2025
- Updated
- Aug 26, 2025
- SHA
- ef778c08
Try a prompt
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. -->
ui_tars_7b_easyr1_10k_hard_qwen7b_easy_gta1-4MP_lr_1_0e-06_bs_1_epochs_1.0_max_pixels_4000000_deepspeed
This model is a fine-tuned version of ByteDance-Seed/UI-TARS-1.5-7B on the easyr1-10k-hard-qwen7b-easy-gta1-4MP 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: 1e-06
- 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 adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1.0
Training results
Framework versions
- Transformers 4.52.4
- Pytorch 2.7.1+cu126
- Datasets 3.6.0
- Tokenizers 0.21.1
- Task
- Image-Text-to-Text
- Library
- transformers
- Type
- qwen2_5_vl
- License
- other
- Created
- Aug 26, 2025
- Updated
- Aug 26, 2025