Model reference · open weights
voice-labs-models is an open-weight audio or speech model from Rhasspy.
For self-hosting, compare this build's requirements below with the GPU you plan to rent.
Summary of the rhasspy/voice-labs-models model card, 2026-10-30
What it is
| Released by | Rhasspy |
|---|---|
| Released | 2026-10-29 |
From the model card
The models the Voice Labs app downloads the first time it starts, as it loads them.
| Folder | What | From | License |
|---|---|---|---|
parakeet-tdt_ctc-110m-en-int8/ | NVIDIA's Parakeet TDT-CTC 110M, English: the transducer (encoder, decoder, joiner, tokens.txt) with its encoder's MatMul weights quantized to int8 (onnxruntime's dynamic quantization), and the CTC branch's head (ctc_head.npz), so that one encoder gives both the CTC log-probabilities commands are matched on and the transcripts | nvidia/parakeet-tdt_ctc-110m, as exported by csukuangfj/sherpa-onnx-nemo-parakeet_tdt_transducer_110m-en-36000 (e9bea5a) and csukuangfj/sherpa-onnx-nemo-parakeet_tdt_ctc_110m-en-36000 (3af92f1) | CC-BY-4.0, © NVIDIA Corporation |
gliner2.5-small-v1-onnx/ | fastino's GLiNER 2.5 small for the app's command fallback: ONNX networks with the encoder's layers in 8 bits and its embedding in 4 (MatMulNBits, block 32), the classifier's weights and the tokenizer (gliner2_onnx.json says how) | fastino/gliner2.5-small-v1 | Apache-2.0 |
The app also downloads EmbeddingGemma 2 (onnx/model_q4.onnx and its tokenizer)
from onnx-community/embeddinggemma-2-ONNX.
Quoted from the model card on Hugging Face. The full card is behind the Hugging Face link above.
How it works