Models · OpenBMB

Deploy OpenBMB models on dedicated GPUs

6 OpenBMB models ready to deploy on GPU capacity reserved for you, from 1.3B to 35B parameters, covering chat & reasoning, vision & multimodal and text-to-speech. Private OpenAI-compatible endpoint, European GPUs, billed per GPU-hour.

ModelParams
VoxCPM2trending
OpenBMB
2.3B
OpenBMB2.5B
OpenBMB9.4B
OpenBMB1.3B
OpenBMB35B
OpenBMB8.2B

Specs from Hugging Face, synced 2026-10-27. Machine-readable version: https://sference.com/models/openbmb.md

FAQ

Which OpenBMB models can I deploy on sference?

6 today, most requested first: VoxCPM2, MiniCPM5-2B, MiniCPM-o-4_5, MiniCPM-V-4.6, MiniCPM-V-4.7-35B-A3B and MiniCPM4.1-8B. Any other OpenBMB checkpoint or a fine-tune of one can be requested with the form on this page.

How many GPUs do OpenBMB models need?

It depends on the model: the lineup runs from 1.3B to 35B parameters. Each model page lists the checkpoint size and the minimum footprint on 80 GB and 141 GB GPUs. You don't pick hardware on sference: you choose a performance tier and we size the deployment.

Can I use OpenBMB models commercially?

6 of the 6 listed models are under licenses that allow commercial use (Apache 2.0 across the lineup). Each model page summarizes its license and links the full text.

How is a dedicated deployment priced?

Per GPU-hour on a monthly commitment, sized to your throughput and latency targets.

Request a OpenBMB model

Tell us which OpenBMB model and roughly how much traffic you expect. Fine-tunes of these models work the same way.

  1. 01
    We size it

    A performance tier, the capacity behind it, and a quote for your volume.

  2. 02
    We benchmark it

    Bring one workload with a sample of real traffic; we come back with latency and throughput numbers.

  3. 03
    It goes live

    We provision the deployment. You call it with the same API and model id as before.

No commitment. Prefer email? [email protected]