Released as part of the NOESIS Professional Multilingual Dubbing Automation Platform (framework: DHCF-FNO — Deterministic Hybrid Control Framework for Frozen Neural Operators).
VoxCPM2 base TTS model with baked-in Kazakh LoRA weights (voxcpm_kaz_lora), producing a ready-to-deploy Kazakh TTS without runtime adapter loading.
Released as part of the NOESIS Professional Multilingual Dubbing Automation Platform
(framework: DHCF-FNO — Deterministic Hybrid Control Framework for Frozen Neural Operators).
⚠️ License notice
This model is a derivative of sozkz/VoxCPM2, released under the
Apache License 2.0. The LoRA-fused derivative is distributed under the same license.
By downloading or using this model you agree to the Apache 2.0 license terms —
see the LICENSE file in this repository for the full text.
Fusing the LoRA eliminates adapter loading at inference time, reducing memory
overhead and simplifying deployment.
Source models
Model
Role
sozkz/VoxCPM2
Base multilingual TTS
voxcpm_kaz_lora
Kazakh language adapter (r=32)
NOESIS context
In NOESIS this model serves as the Kazakh TTS teacher for knowledge distillation
into TTS-10B specialist. Applied domain boost: KK×10 in soft-label weighting during KD.
NOESIS Stage
Role
Phase 1 → Stage 11 (TTS)
KK TTS teacher (KD stream A, text-side)
KD data generation
TTS teacher: w=0.25 (KK domain)
Provenance
Full merge trace including fused layer count in merge_provenance.json.
