GLM-5.3 is live. Run Z.ai's latest model on Friendli Model APIs. Try it today ➜
chibubu
Available on FriendliAI
Run this model inference on single tenant GPU with unmatched speed and reliability at scale.
Model Details
Model Provider
chibubu
Model Tree
Input Modalities
Output Modalities
Supported Functionality
Biolm-30B is designed for research on cross-modal temporal grounding and audio-visual understanding. It uses a Thinker-Talker MoE architecture to process text, images, audio, and video as input, and generates both text and natural speech as output. It supports 119 text languages, 19 speech input languages, and 10 speech output languages.
| Modality | Input | Output |
|---|---|---|
| Text | Yes | Yes |
| Image | Yes | — |
| Audio | Yes | Yes |
| Video | Yes | — |
This model is intended for academic research on multimodal temporal reasoning, cross-modal attention analysis, and audio-visual language modeling.