I ported NVIDIA Parakeet speech-to-text to ggml: same output as NeMo, faster, GGUF-quantized, no Python

I ported NVIDIA Parakeet (speech-to-text) to ggml: same output as NeMo, faster, GGUF-quantized, no Python

mudler_it ported NVIDIA Parakeet speech-to-text models to C++/ggml with no Python or PyTorch, reporting byte-for-byte NeMo parity on f32/f16, up to about 5x GPU speedups on larger TDT and hybrid models, and GGUF quantization across f16, q8_0, q6_k, q5_k, and q4_k.

Why it matters: HKR-H/K/R all pass: the port has a concrete local-inference hook, byte-parity and speed claims, and clear practitioner resonance. Source scope keeps it at the low featured band, not P1.