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DataBubble·

Model Detail

openbmb logo

VoxCPM2

▲ 2.3%
Provider: openbmbCategory: audioPipeline: text-to-speech
DB Score
1.9
Downloads
953K
Likes
1K
Day
+2.3%
Week
+0.0%
Month
+0.0%
Overview

VoxCPM2 is an audio model with 1.1B parameters released by openbmb. The model is registered under the text-to-speech pipeline tag on Hugging Face, distributed under the permissive apache-2.0 license.

Technical

VoxCPM2 ships with 1.1B parameters. Total weight footprint is approximately 2.3 GB, which is the relevant figure when planning local-inference VRAM. The apache-2.0 license is permissive, allowing commercial deployment and derivative work without per-seat fees, though attribution requirements still apply.

Trending Signal

Downloads of VoxCPM2 have moved +2.3% over the past 24 hours. That is a slight downtrend, consistent with normal cooling as newer models compete for the same workloads. These numbers are signal, not guarantee — week-over-week download counts on Hugging Face also reflect mirror traffic, CI scrapes, and one-off benchmarking runs.

Read about databubble_score →
Use Cases

VoxCPM2 is best fit for speech recognition, transcription, or speech synthesis depending on the task head. Treat this as a starting matrix rather than a benchmark verdict — the right deployment usually depends on the specific evaluation suite that mirrors your workload.

Download History
Research Paper
arXiv: 2509.24650→
Model Info
Licenseapache-2.0
Citations37 (4 influential)
Recent newsView all news →
Related News
arxivneutral25d ago

Closing the Quality Gap in Low-Resource Text-to-Speech: LoRA Fine-Tuning of VoxCPM2 for Khmer and Korean

arXiv:2606.26618v1 Announce Type: new Abstract: Large pretrained text-to-speech (TTS) models sound almost human for well-resourced languages, but much worse for languages that are rare in their training data. We study this quality gap for Khmer and Korean using VoxCPM2, a 2.4B-parameter, tokenizer-f

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