VoxCPM2
Will it run on your hardware?
Pick your GPU memory - see which quantizations fit, and the cheapest card for the rest
Need an exact figure for your context length? Use the VRAM calculator.
Run it locally
Copy-paste - running in under a minute
vllm serve openbmb/VoxCPM2New to this? Start with Ollama · serve to many users with vLLM.
Deep dive
Notes, sources, and the full write-up
VoxCPM2 is an open-weight text-to-speech model from openbmb, published on Hugging Face in April 2026. It has 2.3B parameters and is released under the apache-2.0 license.
HardwareLink to this section
At full FP16 precision the weights need about 5 GB of memory; 8-bit quantization brings that to roughly 2 GB. Check the VRAM tiers above to see which GPUs fit it.
PopularityLink to this section
VoxCPM2 had 984,860 downloads on Hugging Face in the last month and has 1,783 likes.
Run it locallyLink to this section
The weights are on Hugging Face and load with voxcpm. Follow the model card for the exact setup and license terms.
Frequently asked
Quick answers to common questions
How much VRAM does VoxCPM2 need?
VoxCPM2 with 2.3B parameters needs approximately 1 GB at Q4_K_M quantization. Use our VRAM calculator for an exact estimate.
Is VoxCPM2 better than other openbmb models?
VoxCPM2 has 2.3B parameters with 8,192 context - a strong choice for text-to-speech.
What license is VoxCPM2 under?
VoxCPM2 is released under the apache-2.0 license, making it suitable for most commercial and personal projects.
What hardware runs VoxCPM2 well?
With 2.3B parameters, VoxCPM2 requires adequate VRAM. High-end GPUs like the RTX 4090 (24GB), RTX 5090 (32GB), or Mac Studio with unified memory are good options. Check our hardware directory for specific recommendations.
What is the best quantization for VoxCPM2?
Q4_K_M is the recommended sweet spot - ~98% of FP16 quality at ~27% of the size. Q5_K_M (~2 GB) is an option if you have spare VRAM. Use our VRAM calculator to compare.
What models compete with VoxCPM2?
VoxCPM2 competes with other models in its class. Browse our model directory for comparisons, benchmarks, and community reviews to find the best fit.
Nearby options
Similar models and compatible hardware by spec