Linnet weights v1 (linnet-en-35m)

Linnet weights v1 (linnet-en-35m)

First release of the Linnet model weights: English on-device text-to-speech, 41.4 M parameters (flow LM 31.5 M + codec decoder 9.9 M),
24 kHz, streaming, container linnet-tts/1 (safetensors). Trained in October 2026 (LM step 800 000, EMA weights).

Files

file	size	purpose
linnet-en-35m-weights-v1.tar.gz	230 MB	all files below with the directory layout; unpack into local/ and run sha256sum -c SHA256SUMS
linnet-en-35m.fp16.safetensors	83 MB	runtime weights; load this with the Rust runtime and the bindings
linnet-en-35m.safetensors	166 MB	fp32 reference weights for linnet_tts_torch and the golden tests
tokenizer.model	102 KB	SentencePiece unigram, 6000 pieces
voices/linnet-en-f1.npy (attached as linnet-en-f1.npy)	15 KB	built-in voice, female, American
voices/linnet-en-m1.npy (attached as linnet-en-m1.npy)	15 KB	built-in voice, male, American
MANIFEST.json		contents, metadata, reference synthesis md5
SHA256SUMS		sha256sum -c SHA256SUMS
WEIGHTS_LICENSE.md, model-card.md		license and model card

License: Linnet Weights License 1.0 (WEIGHTS_LICENSE.md), not an open-source license. Free, including commercially: running the
unmodified weights with the built-in voices inside your own products, on devices and on servers, shipping them as part of your product,
selling the audio you generate. A separate written license from VoxRT (help@voxrt.com) is required for creating or cloning voices
(including your own), fine-tuning or saving modified, quantised or converted copies of the weights, training any model with the weights
or their output, offering general-purpose text-to-speech to others as an API or service, and publishing the weights outside your product.
The license text governs; this summary does not. Products that use the weights show the notices in Section 8 of the license.

Built-in voices are synthetic (designed from text descriptions); they are not clones of real people.

Runtime: LinnetTTS v0.1.0 or later (https://github.com/VoxRT/LinnetTTS). The three files the runtime needs are the fp16 weights,
tokenizer.model and one voice file. Mirror: https://huggingface.co/VoxRT/linnet-en-35m.