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AI 模型 535
- s1-mini-GGUF↗
superwhisper
GGUF builds of superwhisper/s1-mini, release v1, for llama.cpp, Ollama, LM Studio, and anything else built on llama.cpp. You can use it in your own dictation app too, just check the license first. S1-mini is a 0.6B-parameter text normalizer for speech-to-text output. It takes a raw ASR transcript and rewrites it as clean written text: fillers removed, false starts and self-corrections resolved to the value the speaker landed on, punctuation and capitalization applied, and spoken numbers, dates, times, currency and email addresses rendered in written form. At Q4_K_M it is a 462 MiB file that runs comfortably on a laptop CPU, and on a held-out set of 7,519 English cases it reaches 94.8% token accuracy.
- kb-whisper-tiny↗
KBLab
- whisper-large-v3-sorani-kurdish-ckb-v2↗
rzgar
- whisper-tiny-ar-quran-onnx↗
Sharjeelbaig
- whisper-large-v3↗
OpenASR
- whisper-large-v3-turbo-int8-ov↗
OpenVINO
This is whisper-large-v3-turbo model converted to the OpenVINO™ IR (Intermediate Representation) format with weights compressed to INT8 by NNCF. Whisper large-v3-turbo is a finetuned version of a pruned Whisper large-v3 with the number of decoder layers reduced from 32 to 4, which makes the model significantly faster at the expense of a minor quality degradation. The original model is distributed under MIT license. More details can be found in original model card.
- lite-whisper-large-v3↗
efficient-speech
Lite-Whisper is a compressed version of OpenAI Whisper with LiteASR. See our GitHub repository and paper for details.
- faster-whisper-large-v3-turbo↗
dropbox-dash
This repository contains the conversion of openai/whisper-large-v3-turbo to the CTranslate2 model format. This model can be used in CTranslate2 or projects based on CTranslate2 models such as faster-whisper. It is called automatically for Mobius Labs fork of faster-whisper. Note that the model weights are saved in FP16. This type can be changed when the model is loaded using the compute_type option in CTranslate2.
- Whisper-Hindi2Hinglish-Prime↗
Oriserve
- whisper-tiny-gguf↗
handy-computer
Ported from upstream commit 169d4a4, pinned 2026-04-25. Validated against the transformers reference at transcribe.cpp commit 0a26478 on 2026-09-13. OpenAI Whisper tiny — converted to GGUF for transcribe.cpp. Multilingual transcription, language detection, and speech translation (audio in any supported language → English text). Encoder-decoder transformer; 30-second windows with chunked long-form decoding. WER on the full LibriSpeech test-clean split (2,620 utterances), batch size 1, timestamps none. Figures without a commit were published before provenance was recorded.