loom-ai-org/vocetta2-276k-loom
text-to-speech model by loom-ai-org
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Model card & documentation
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VantoraLabs' Vocetta2 276K: a complete English text-to-speech model in 276,765 parameters -- a duration net, an acoustic net to a mel spectrogram and a ConvNeXt/iSTFT decoder at 24 kHz -- exported for loom.cpp. This is a loom.cpp export: a single self-describing GGUF that carries its own graph topologies, tokenizer (if any) and driver script, produced by loom-exporter. Exported from VantoraLabs/Vocetta2-276k. The F32 file carries the same parameters unmodified, in loom.cpp's GGUF format; the others are quantized from them (see Files). mit, inherited from the base model above. en Run it with loom-py -- loom-py-rt on PyPI: Needs loom-py-rt 1.0.0rc18 or later. This file uses the engine's ISTFT op, new in that release; an older runtime stops with unknown op 'ISTFT'. NOTE: This is a work in progress. For now, in order to avoid license conflicts and keep dependencies at a minimum, we opted for orthography2ipa as our "swiss-knife" phonemizer. For…
Read the full model card ↗ · Preview checked 2026-10-31T13:17:02.852Z
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Model overview
loom-ai-org/vocetta2-276k-loom is a text-to-speech model repository published by loom-ai-org on Hugging Face. The source reports the loom-py-rt library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-to-speech
- Library
- loom-py-rt
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- mit
- Access
- Not gated by Hugging Face
- Created
- 2026-10-22T06:38:55.000Z
- Last modified
- 2026-10-22T06:38:58.000Z
Compatibility and lineage
Reported languages: en
Reported base models: VantoraLabs/Vocetta2-276k
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-22T06:45:03.943Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.