PhoneBuddy-4B
PhoneBuddy-4B is the main PhoneBuddy Real+Mock reinforcement-learning checkpoint.
Model Details
- Model family: Qwen3.5 VL style checkpoint
model_type: qwen3_5- Processor:
Qwen3VLProcessor
- Checkpoint role: main Real+Mock RL checkpoint
- Tool-call format: Qwen-style XML as defined in
chat_template.jinja
The model card and repository are initially published as private for validation.
Tool-Call Format
PhoneBuddy-4B follows the Qwen-style XML tool-call format defined by the bundled chat_template.jinja, for example:
1<tool_call>
2<function=example_function_name>
3<parameter=example_parameter_1>
4value_1
5</parameter>
6</function>
7</tool_call>
Use the tokenizer or processor chat template from this repository when constructing prompts with tools.
Loading Environment
These checkpoints use Qwen3.5 VL style model metadata:
model_type: qwen3_5- Architecture:
Qwen3_5ForConditionalGeneration
- Processor:
Qwen3VLProcessor
- Tokenizer metadata:
TokenizersBackend
Use the matching Qwen3.5 VL / PhoneBuddy training or inference environment that registers these classes. In a generic public Transformers environment, compatibility depends on whether that build includes qwen3_5 and the tokenizer backend used by this checkpoint.
A minimal processor load can be tested with:
1from transformers import AutoProcessor
2
3repo_id = "PhoneBuddyAI/PhoneBuddy-4B"
4processor = AutoProcessor.from_pretrained(repo_id, trust_remote_code=False)
Full config, tokenizer, and model loading should be done in an environment that supports the classes above. For example, public transformers==4.57.6 does not register model_type=qwen3_5, and AutoTokenizer does not import TokenizersBackend; in that environment those failures indicate version/class compatibility, not missing checkpoint files.
Intended Use
PhoneBuddy is designed for research on phone agents, multimodal tool use, and visual action reasoning. See the project page and GitHub repository for code and usage details.
