Instructions to use chibubu/biolm-3b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chibubu/biolm-3b with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("chibubu/biolm-3b") model = AutoModel.from_pretrained("chibubu/biolm-3b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Biolm-3B
Biolm-3B (originally Qwen2.5-Omni-3B) is a 3-billion-parameter end-to-end multimodal large language model.
About
Biolm-3B is designed for research on cross-modal temporal grounding and audio-visual understanding. It accepts text, images, audio, and video as input, and can generate both text and natural speech as output in a streaming manner.
Modalities
| Modality | Input | Output |
|---|---|---|
| Text | Yes | Yes |
| Image | Yes | โ |
| Audio | Yes | Yes |
| Video | Yes | โ |
Intended Use
This model is intended for academic research on multimodal temporal reasoning, cross-modal attention analysis, and audio-visual language modeling.
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