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streaming-zipformer-en-sherpa
Streaming English ASR: sherpa-onnx zipformer transducer (int8, chunk-16 left-128). Low-latency real-time transcription with endpoint detection via sherpa-onnx's online recognizer. English-only; for multilingual offline ASR see omnilingual-0.3b-ctc-q8-sherpa.

Repository: localaiLicense: apache-2.0

vits-ljs-sherpa
VITS-LJS English single-speaker TTS served through the sherpa-onnx backend. Trained on the LJSpeech corpus at 22.05 kHz. Pairs with the sherpa-onnx ASR entries for round-trip audio pipelines.

Repository: localaiLicense: apache-2.0

vits-piper-en_US-amy-sherpa
English (en_US) single-speaker Piper VITS voice "amy" (medium quality, 22.05 kHz), served through the sherpa-onnx backend with native streaming TTS. Ships espeak-ng phonemization data.

Repository: localaiLicense: other

vits-piper-en_GB-alan-low-sherpa
English (en_GB) single-speaker Piper VITS voice "alan" (low quality, 16 kHz), served through the sherpa-onnx backend with native streaming TTS. Ships espeak-ng phonemization data.

Repository: localaiLicense: other

vits-piper-en_GB-alan-medium-sherpa
English (en_GB) single-speaker Piper VITS voice "alan" (medium quality, 22.05 kHz), served through the sherpa-onnx backend with native streaming TTS. Ships espeak-ng phonemization data.

Repository: localaiLicense: other

vits-piper-en_GB-alba-medium-sherpa
English (en_GB) single-speaker Piper VITS voice "alba" (medium quality, 22.05 kHz), served through the sherpa-onnx backend with native streaming TTS. Ships espeak-ng phonemization data.

Repository: localaiLicense: cc-by-4.0

vits-piper-en_GB-aru-medium-sherpa
English (en_GB) multi-speaker (12 voices) Piper VITS voice "aru" (medium quality, 22.05 kHz), served through the sherpa-onnx backend with native streaming TTS. Ships espeak-ng phonemization data. Pick a speaker with the numeric voice/speaker id.

Repository: localaiLicense: cc-by-4.0

vits-piper-en_GB-cori-high-sherpa
English (en_GB) single-speaker Piper VITS voice "cori" (high quality, 22.05 kHz), served through the sherpa-onnx backend with native streaming TTS. Ships espeak-ng phonemization data.

Repository: localaiLicense: cc0-1.0

vits-piper-en_GB-cori-medium-sherpa
English (en_GB) single-speaker Piper VITS voice "cori" (medium quality, 22.05 kHz), served through the sherpa-onnx backend with native streaming TTS. Ships espeak-ng phonemization data.

Repository: localaiLicense: cc0-1.0

vits-piper-en_GB-dii-high-sherpa
English (en_GB) single-speaker Piper VITS voice "dii" (high quality, 22.05 kHz), served through the sherpa-onnx backend with native streaming TTS. Ships espeak-ng phonemization data. Non-commercial use only (CC BY-NC-SA 4.0).

Repository: localaiLicense: cc-by-nc-sa-4.0

vits-piper-en_GB-jenny_dioco-medium-sherpa
English (en_GB) single-speaker Piper VITS voice "jenny_dioco" (medium quality, 22.05 kHz), served through the sherpa-onnx backend with native streaming TTS. Ships espeak-ng phonemization data.

Repository: localaiLicense: other

vits-piper-en_GB-miro-high-sherpa
English (en_GB) single-speaker Piper VITS voice "miro" (high quality, 22.05 kHz), served through the sherpa-onnx backend with native streaming TTS. Ships espeak-ng phonemization data. Non-commercial use only (CC BY-NC-SA 4.0).

Repository: localaiLicense: cc-by-nc-sa-4.0

vits-piper-en_GB-northern_english_male-medium-sherpa
English (en_GB) single-speaker Piper VITS voice "northern_english_male" (medium quality, 22.05 kHz), served through the sherpa-onnx backend with native streaming TTS. Ships espeak-ng phonemization data.

Repository: localaiLicense: cc-by-sa-4.0

vits-piper-en_GB-semaine-medium-sherpa
English (en_GB) multi-speaker (4 voices) Piper VITS voice "semaine" (medium quality, 22.05 kHz), served through the sherpa-onnx backend with native streaming TTS. Ships espeak-ng phonemization data. Pick a speaker with the numeric voice/speaker id. Non-commercial use only (CC BY-NC-SA 4.0).

Repository: localaiLicense: cc-by-nc-sa-4.0

vits-piper-en_GB-southern_english_female-low-sherpa
English (en_GB) single-speaker Piper VITS voice "southern_english_female" (low quality, 16 kHz), served through the sherpa-onnx backend with native streaming TTS. Ships espeak-ng phonemization data.

Repository: localaiLicense: cc-by-sa-4.0

vits-piper-en_GB-southern_english_female-medium-sherpa
English (en_GB) single-speaker Piper VITS voice "southern_english_female" (medium quality, 22.05 kHz), served through the sherpa-onnx backend with native streaming TTS. Ships espeak-ng phonemization data.

Repository: localaiLicense: cc-by-sa-4.0

vits-piper-en_GB-southern_english_male-medium-sherpa
English (en_GB) single-speaker Piper VITS voice "southern_english_male" (medium quality, 22.05 kHz), served through the sherpa-onnx backend with native streaming TTS. Ships espeak-ng phonemization data.

Repository: localaiLicense: cc-by-sa-4.0

vits-piper-en_GB-vctk-medium-sherpa
English (en_GB) multi-speaker (109 voices) Piper VITS voice "vctk" (medium quality, 22.05 kHz), served through the sherpa-onnx backend with native streaming TTS. Ships espeak-ng phonemization data. Pick a speaker with the numeric voice/speaker id.

Repository: localaiLicense: cc-by-4.0

vits-piper-en_GB-sweetbbak-amy-sherpa
English (en_GB) single-speaker Piper VITS voice "sweetbbak-amy" (22.05 kHz), served through the sherpa-onnx backend with native streaming TTS. Ships espeak-ng phonemization data.

Repository: localaiLicense: other

kokoro-multi-lang-v1.0-sherpa
Kokoro multi-lingual TTS (v1.0, int8) served through the sherpa-onnx backend with native streaming TTS. A single model covers many languages and speakers (English, Italian, Spanish, French, German and more) via a built-in voices bank; espeak-ng data and per-language lexicons ship with it. Select a speaker with the `voice` parameter (numeric speaker id) and optionally pass `language=` to hint the language.

Repository: localaiLicense: apache-2.0

onerec-8b
The model `mradermacher/OneRec-8B-GGUF` is a quantized version of the base model `OpenOneRec/OneRec-8B`, a large language model designed for tasks like recommendations or content generation. It is optimized for efficiency with various quantization schemes (e.g., Q2_K, Q4_K, Q8_0) and available in multiple sizes (3.5–9.0 GB). The model uses the GGUF format and is licensed under Apache-2.0. Key features include: - **Base Model**: `OpenOneRec/OneRec-8B` (a pre-trained language model for recommendations). - **Quantization**: Supports multiple quantized variants (Q2_K, Q3_K, Q4_K, etc.), with the best quality for `Q4_K_S` and `Q8_0`. - **Sizes**: Available in sizes ranging from 3.5 GB (Q2_K) to 9.0 GB (Q8_0), with faster speeds for lower-bit quantized versions. - **Usage**: Compatible with GGUF files, suitable for deployment in applications requiring efficient model inference. - **Licence**: Apache-2.0, available at [https://huggingface.co/OpenOneRec/OneRec-8B/blob/main/LICENSE](https://huggingface.co/OpenOneRec/OneRec-8B/blob/main/LICENSE). For detailed specifications, refer to the [model page](https://hf.tst.eu/model#OneRec-8B-GGUF).

Repository: localaiLicense: apache-2.0

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