PhoneBuddy-0.8B

PhoneBuddy-0.8B is the small PhoneBuddy Real+Mock reinforcement-learning checkpoint.

Project page: https://phonebuddyai.github.io/

GitHub: https://github.com/PhoneBuddyAI/phonebuddy

Model Details

• Model family: Qwen3.5 VL style checkpoint
• model_type: qwen3_5
• Processor: Qwen3VLProcessor
• Checkpoint role: small 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-0.8B follows the Qwen-style XML tool-call format defined by the bundled chat_template.jinja, for example:

<tool_call>
<function=example_function_name>
<parameter=example_parameter_1>
value_1
</parameter>
</function>
</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:

from transformers import AutoProcessor

repo_id = "PhoneBuddyAI/PhoneBuddy-0.8B"
processor = 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. This smaller checkpoint is intended for lower-cost experiments and comparisons.