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mlfoundations-cua-dev/uitars_add_new_advanced_synthetic_typing_data
uitars_add_new_advanced_synthetic_typing_data is a machine learning model from mlfoundations-cua-dev. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Full Model Name: idmtars1.57bframepairs896x896lr1e-510epochs500stepsgbs8wd0.1maxgradnorm1.0addnewadvancedsynthetictypingdata
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Updated Jun 18, 2025
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.pt16.6 GB · 100%
From the Hugging Face model README
Full Model Name: idm_tars_1.5_7b_frame_pairs_896x896_lr_1e-5_10_epochs_500_steps_gbs_8_wd_0.1_max_grad_norm_1.0_add_new_advanced_synthetic_typing_data
Repository Name: mlfoundations-cua-dev/uitars_add_new_advanced_synthetic_typing_data
Model Directory: idm_tars_1.5_7b_frame_pairs_896x896_lr_1e-5_10_epochs_500_steps_gbs_8_wd_0.1_max_grad_norm_1.0_add_new_advanced_synthetic_typing_data
Checkpoint Used: idm_tars_1.5_7b_frame_pairs_896x896_lr_1e-5_10_epochs_500_steps_gbs_8_wd_0.1_max_grad_norm_1.0_add_new_advanced_synthetic_typing_data/checkpoint_epoch_9.pt
This repository contains the model state dict extracted from the training checkpoint.
model_state_dict.pt: PyTorch state dictionary containing the model weightsREADME.md: This fileimport torch
# Load the model state dict
state_dict = torch.load("model_state_dict.pt", map_location='cpu')
# Use with your model architecture
# model.load_state_dict(state_dict)
push_models_to_hf.py scriptcheckpoint_epoch_9.pt