Model reference · open weights
magpie-tts.cpp is an open-weight audio or speech model from mudler, listed in the AxForge catalogue. AxForge can bring it up on EU-owned hardware for you on request — with the licence handled where one is required.
About
magpie-tts.cpp GGUF Brought to you by the LocalAI team, the folks behind LocalAI, the open-source AI engine that runs any model (LLMs, vision, voice, image, video) on any hardware, no GPU required. Self-contained GGUF builds of NVIDIA's Magpie TTS Multilingual 357M for magpie-tts.cpp, a from-scratch C++17/ggml inference engine. Each file bundles the TTS model, the NanoCodec decoder, the tokenizer and the G2P dictionaries: one file, no Python, PyTorch, NeMo, or CUDA toolkit at inference. 5 voices (Aria, Jason, John, Leo, Sofia), 22.05 kHz mono, 9+ languages (en, es, de, fr, it, pt-BR, hi, vi, ko, ar variants; zh/ja not yet supported by the C++ tokenizer). Files Quantization is selective (only matmul weights; codec and embeddings stay f32). Full drift numbers and methodology: docs/quantization.md. Usage Performance About 66x faster than the NeMo reference pipeline on the same CPU (Ryzen 9 9950X3D: 12.1 s vs 805.7 s for ~4 s of speech, f32). Honest methodology and caveats: benchmarks/BENCHMARK.md. License Inference code: MIT. Model weights (these GGUFs): NVIDIA Open Model License. Model and codec by NVIDIA (NeMo team). Built by the LocalAI team. If you want to run text to speech (and LLMs, vision, voice, image, and video models) locally on any hardware with an OpenAI-compatible API, give LocalAI a star.
Summarised from the published model card. Read the full card on the HuggingFace links below.
Specifications
| Maker | mudler |
|---|---|
| Type | Audio & music |
| Variants | 1 |
| Based on | nvidia/magpie_tts_multilingual_357m |
| Released | 2026-07-24 |
| Popularity | 79k downloads / month |
| Likes | 1 |
| Licence | Commercial licence needed |
How it works
Variants
Open weights ship in several sizes and precisions. One page, all the variants — pick the one that fits your GPU. VRAM figures are estimates from model size.
| Variant | Params | Precision | VRAM | Fits 16 GB | Weights |
|---|---|---|---|---|---|
| magpie-tts.cpp-gguf | — | GGUF | — | — | Weights ↗ |
Using it via the API
Once AxForge deploys magpie-tts-cpp for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (magpie-tts-cpp below is illustrative; you get the exact model name on deployment.)
$ curl -sS https://api.axforge.ai/v1/audio/transcriptions \ -H "Authorization: Bearer $AXFORGE_API_KEY" \ -F model="magpie-tts-cpp" -F file=@audio.mp3
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Licence
The weights are open but its licence needs a commercial agreement for business use. AxForge can arrange that licence and host the model for you — you pay AxForge, we settle with the model’s maker. Ask us for a quote. Read the licence ↗