campplus-coreml
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clef-vision-0.8b-coreml
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View details ↗d3-coreml
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View details ↗diar-streaming-sortformer-coreml
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View details ↗embeddinggemma-2-coreml
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View details ↗kokoro-82m-coreml
FluidInferenceCore ML conversions of **hexgrad/Kokoro-82M** (English and Japanese) and **hexgrad/Kokoro-82M-v1.1-zh** (Mandarin). The original Kokoro models and pretrained weights are by hexgrad; this repository provides Apple Core ML conversions and runtime optimizations. See FluidAudio for inference. Available for English, Japanese and Mandarin, with fixed Albert/decoder buckets, native source DSP and a GPU generator adapted from Matt Mireles's conversion. Existing model paths and defaults remain available. Use `KokoroAneManager(version: .v3)` for English, `KokoroAneManager(variant: .japanese, version: .v3)` for Japanese, or `KokoroAneManager(variant: .mandarin, version: .v3)` for Mandarin. All three accept native text and variant voices. Existing callers retain `.legacy`. See SDK usage, voices and platform limits. Requires macOS 15 / iOS 18; physical iOS inference remains unvalidated.
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View details ↗localvqe-coreml
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View details ↗nemotron-3-diarization-coreml
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View details ↗parakeet-0.6b-ja-coreml
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View details ↗parakeet-ctc-110m-coreml
FluidInferenceNVIDIA's Parakeet-TDT-CTC-110M model converted to CoreML format for efficient inference on Apple Silicon. This is a hybrid ASR model with a shared Conformer encoder and two decoder heads: - **CTC Head**: Fast greedy decoding, ideal for keyword spotting - **TDT Head**: Token-Duration Transducer for high-quality transcription This will: 1. Download the original model from NVIDIA (`nvidia/parakeet-tdt_ctc-110m`) 2. Convert each component to CoreML format 3. Extract vocabulary and create metadata
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View details ↗parakeet-realtime-eou-120m-coreml
FluidInferenceCoreML conversion of nvidia/parakeet-realtime-eou-120m-v1 for streaming speech recognition with end-of-utterance detection on Apple Silicon. Used by FluidAudio for real-time transcription. The RNNT pipeline is split into three CoreML models, exported at two chunk sizes:
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View details ↗parakeet-redux-coreml
FluidInference基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗parakeet-tdt-0.6b-v2-coreml
FluidInferenceThis is a CoreML-optimized version of NVIDIA's Parakeet TDT 0.6B V2 model, designed for high-performance automatic speech recognition on Apple platforms. Models will continue to evolve as we optimize performance and accuracy. This model has been converted to CoreML format for efficient on-device inference on Apple Silicon and iOS devices, enabling real-time speech recognition with minimal memory footprint. Based on NVIDIA's Parakeet TDT model. CoreML conversion and Swift integration by the FluidInference team.
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View details ↗parakeet-tdt-0.6b-v3-coreml
FluidInferenceOn‑device multilingual ASR model converted to Core ML for Apple platforms. This model powers FluidAudio’s batch ASR and is the same model used in our backend. It supports 25 European languages and is optimized for low‑latency, private, offline transcription. The conversion script is here: https://github.com/FluidInference/mobius/tree/main/models/stt/parakeet-tdt-v3-0.6b/coreml And the benchmarks are here: https://github.com/FluidInference/FluidAudio/blob/main/Documentation/Benchmarks.md#transcription
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View details ↗parakeet-tdt-ctc-110m-coreml
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View details ↗parakeet-ultra-coreml
FluidInferenceCore ML build of moondream/parakeet-ultra, a full-precision post-training of `nvidia/parakeet-tdt-0.6b-v3`. Same architecture, 25 languages, tokenizer and output conventions as v3; drop-in for the v3 component contract. Encoder is int8 linear per-channel (595 MB); decoder and joint are re-exported from the Ultra checkpoint; preprocessor and vocabulary are the v3 ones. Ultra wins all 24 FLEURS languages. The int8 encoder scores the same WER as an fp16 export (2.13 % / 3.79 %). Speed is within a few percent of v3 run back to back on the same machine (test-clean 126.7× vs 128.6× on the ANE). Conversion recipe: FluidInference/mobius `models/stt/parakeet-ultra/coreml`. License CC-BY-4.0, as the upstream checkpoint.
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View details ↗parakeet-unified-en-0.6b-coreml
FluidInference基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗phonon-2-coreml
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View details ↗pocket-tts-coreml
FluidInference基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗sensevoice-small-coreml
FluidInference基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗silero-vad-coreml
FluidInferenceA CoreML implementation of the Silero Voice Activity Detection (VAD) model, optimized for Apple platforms (iOS/macOS). This repository contains pre-converted CoreML models ready for use in Swift applications. This is how the model performs against the silero-vad v6.0.0 basline Pytorch JIT version Note that we tested the quantized versions, as the model is already tiny, theres no performance imporvement at all.
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View details ↗speaker-diarization-coreml
FluidInferenceCore ML conversions used by FluidAudio for on-device speaker diarization on Apple platforms. The supported Community-1 artifact set is distributed under CC-BY-4.0. See NOTICE.md for attribution and the precise license scope, and PROVENANCE.md plus provenance.json for source, conversion, environment, and file-integrity records. The snapshot includes uncompiled packages for `Segmentation`, `FBank`, `Embedding`, and `PldaRho` under `mlpackages/`; no uncompiled `PLDA` package was published. These are Core ML conversions, not fine-tuned models.
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View details ↗supertonic-3-coreml
FluidInference基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗unlimited-ocr-mlx-coreml
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