UI-TARS-1.5-7B-IDM-FULL-SFT

Model Information

Full Model Name: UI-TARS-1.5-7B-IDM-FULL-SFT

Repository Name: mlfoundations-cua-dev/UI-TARS-1.5-7B-IDM-FULL-SFT

Model Directory: /DATA/disk3/mert/aylin/models/UI-TARS-1.5-7B-IDM-FULL-SFT/

Checkpoint Used: /DATA/disk3/mert/aylin/models/UI-TARS-1.5-7B-IDM-FULL-SFT/checkpoint-272

Model Configuration

• Model Size: 7B parameters

Description

This repository contains the model state dict extracted from the training checkpoint.

Files

• model_state_dict.pt: PyTorch state dictionary containing the model weights
• README.md: This file

Usage

import 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)

Notes

• This model was automatically uploaded using the push_models_to_hf.py script
• The repository name may be truncated if the original model name exceeded HuggingFace's 96-character limit
• Checkpoint extracted from: checkpoint-272