Instructions to use caleb-marks/hoppop-agent-v2b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use caleb-marks/hoppop-agent-v2b with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir hoppop-agent-v2b caleb-marks/hoppop-agent-v2b
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
HopPop agent v2b (MLX 4-bit)
A LoRA fine-tune of Qwen/Qwen3.5-2B for an on-device iPhone assistant: reminders, calendar events, and checking the schedule, in a short, warm voice. Trained only on synthetic examples. Apache-2.0, same as the base model.
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Model size
2B params
Tensor type
U32
·
BF16 ·
Hardware compatibility
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4-bit
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