| ### GenericAgent-AgentTrek-1.0-32b | |
| this agent is GenericAgent from Agentlab | |
| - **Base Model:** | |
| - Qwen/Qwen2.5-32B-Instruct | |
| - **Architecture:** | |
| - Type: Causal Language Models | |
| - Training Stage: Pretraining & Post-training | |
| - Architecture: transformers with RoPE, SwiGLU, RMSNorm, and Attention QKV bias | |
| - Number of Parameters: 32.5B | |
| - Number of Paramaters (Non-Embedding): 31.0B | |
| - Number of Layers: 64 | |
| - Number of Attention Heads (GQA): 40 for Q and 8 for KV | |
| - Input/Output Format: | |
| - with the following flags: | |
| ```txt | |
| flags=GenericPromptFlags( | |
| obs=ObsFlags( | |
| use_html=True, | |
| use_ax_tree=True, | |
| use_tabs=False, | |
| use_focused_element=False, | |
| use_error_logs=True, | |
| use_history=True, | |
| use_past_error_logs=False, | |
| use_action_history=True, | |
| use_think_history=False, | |
| use_diff=False, | |
| html_type='pruned_html', | |
| use_screenshot=False, | |
| use_som=False, | |
| extract_visible_tag=False, | |
| extract_clickable_tag=False, | |
| extract_coords='False', | |
| filter_visible_elements_only=False, | |
| openai_vision_detail='auto', | |
| filter_with_bid_only=False, | |
| filter_som_only=False | |
| ), | |
| action=ActionFlags( | |
| action_set=HighLevelActionSetArgs( | |
| subsets=('miniwob_all',), | |
| multiaction=False, | |
| strict=False, | |
| retry_with_force=True, | |
| demo_mode='off' | |
| ), | |
| long_description=False, | |
| individual_examples=False, | |
| multi_actions=None, | |
| is_strict=None | |
| ), | |
| use_plan=False, | |
| use_criticise=False, | |
| use_thinking=True, | |
| use_memory=True, | |
| use_concrete_example=True, | |
| use_abstract_example=True, | |
| use_hints=False, | |
| enable_chat=False, | |
| max_prompt_tokens=40000, | |
| be_cautious=True, | |
| extra_instructions=None, | |
| add_missparsed_messages=True, | |
| max_trunc_itr=20, | |
| flag_group=None | |
| ) | |
| ``` | |
| - Training Details | |
| - Dataset used: [AgentTrek-6K](https://agenttrek.github.io) | |
| - Number of training steps: 3 Epochs | |
| - Paper Link: | |
| - https://arxiv.org/abs/2412.09605 | |
| - Code Repository: | |
| - https://agenttrek.github.io | |
| - Lisense: | |
| - apache2.0 | |