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Independent publisher

Josh Leverette

coder543

LLMs, STT, TTS

Models in Library18
Datasets in Library0
Models on Hugging Face23
Followers11

Compare the published evidence

This profile connects the 18 model and dataset records shown below to their upstream cards and sources. The library counts describe SAVRN's coverage, rather than this publisher's entire output.

Published tasks: Speech recognition, Text to speech, Voice activity detection.

Reported licenses: apache-2.0, cc-by-4.0, mit, openmdw-1.1, other. Open a record to review its specific license and conditions.

Compare model specifications, source dates, and hardware estimates on the individual records. Publisher identity verification is separate from a model's quality, deployment readiness, or suitability for your work.

Models

Model · Speech recognition

parakeet-tdt-ctc-110m-glade

Josh Leverette

Glade is a native Swift library for on-device speech inference on Apple silicon. This repository supplies converted model assets and configuration for Glade's model-specific host runtime. Glade's runtime source is currently private. Apple Neural Engine conversions of NVIDIA's Parakeet TDT–CTC 110M. Each Core AI profile supports TDT and CTC decoding from the same encoder, with native token and word timings. A portable Core ML graph bundle is included as a bonus, qualified on Mac, iPhone and Apple Watch. The English model has a 17-layer, 512-wide FastConformer encoder, a one-layer 640-wide LSTM TDT predictor, and a separate CTC head. These conversions preserve the original weights without…

Open weights cc-by-4.0

Model · Text to speech

moss-tts-v1.5-glade

Josh Leverette

Hybrid conversion of MOSS-TTS-v1.5 and MOSS Audio Tokenizer. The 8.49B autoregressive language model runs on GPU through native Swift MLX; seventeen Core AI codec groups render mono 24 kHz PCM on ANE. English controls are qualified; other upstream languages are not qualified here. Glade is a native Swift library for speech inference on Apple silicon, using Core AI, Core ML, and model-specific host implementations. Its runtime source is currently private. This repository distributes the model assets and runtime metadata used by that library. Python is export/measurement tooling, not an application dependency. Mac qualification is included; iPhone and Watch qualification is not claimed.…

Open weights apache-2.0 mlx

Model · Text to speech

pocket-tts-glade

Josh Leverette

Specialized conversion of Kyutai Pocket TTS. This profile supports English text with the predefined alba voice and returns mono 24 kHz Float PCM, including incremental audio. Glade is a native Swift library for speech inference on Apple silicon, using Core AI, Core ML, and model-specific host implementations. Its runtime source is currently private. This repository distributes the model assets and runtime metadata used by that library. Python is export/measurement tooling, not an application dependency. Mac qualification is included; iPhone and Watch qualification is not claimed. Download weights and configuration from one snapshot. The approximately 117.2 MB bundle uses W8A16 language…

Open weights cc-by-4.0 pocket-tts

Model · Text to speech

paradee-8m-glade

Josh Leverette

Mixed-precision conversion of Paradee-8M v1.0, a single-voice English distillation of Kokoro. It accepts phonemes and generates mono 24 kHz Float PCM with its learned afheart voice. Glade is a native Swift library for speech inference on Apple silicon, using Core AI, Core ML, and model-specific host implementations. Its runtime source is currently private. This repository distributes the model assets and runtime metadata used by that library. Python is export/measurement tooling, not an application dependency. Mac qualification is included; iPhone and Watch qualification is not claimed. Download weights and configuration from one snapshot. INT8 text/prosody/acoustic weights use FP16…

Open weights apache-2.0

Model · Text to speech

kokoro-82m-glade

Josh Leverette

Native-context conversion of Kokoro-82M v1.0. It accepts phonemes and generates mono 24 kHz Float PCM. The bundle includes afheart and amadam; measurements use afheart at speed 1. Glade is a native Swift library for speech inference on Apple silicon, using Core AI, Core ML, and model-specific host implementations. Its runtime source is currently private. This repository distributes the model assets and runtime metadata used by that library. Python is export/measurement tooling, not an application dependency. Mac qualification is included; iPhone and Watch qualification is not claimed. Download weights and configuration from one snapshot. The profile retains up to 510 phoneme symbols, with…

Open weights apache-2.0

Model · Voice activity detection

silero-vad-glade

Josh Leverette

Glade is a native Swift library for on-device speech inference on Apple silicon. This repository supplies converted model assets and configuration for Glade's model-specific host runtime. Glade's runtime source is currently private. The official Silero 16 kHz VAD converted for Glade using Apple Core AI APIs on macOS 27 and iOS 27. The bundle batches eight consecutive 32 ms frames (256 ms), while preserving the original 128-dimensional LSTM state and 64-sample audio context across calls. Use CPU-only specialization for this small recurrent model. Each input audio tensor has shape [8, 1, 1, 576], containing the preceding 64 samples and current 512 samples for each frame. h and c are [1, 128…

Open weights mit coreai

Glade is a native Swift library for on-device speech inference on Apple silicon. This repository supplies converted model assets and configuration for Glade's model-specific host runtime. Glade's runtime source is currently private. Glade conversion of Qwen3 ForcedAligner, source revision c07281df297b9905d24a508279258cccf987a064. The upstream model and converted weights use Apache License 2.0. The complete checkpoint has approximately 918 million parameters; the 0.6B name describes its text backbone. This model predicts timestamps for supplied words. It does not recognize or replace a transcript. Requires physical Apple silicon with macOS 27 or iOS 27, Core AI APIs, and Glade's…

Open weights apache-2.0

Model · Speech recognition

qwen3-asr-1.7b-glade

Josh Leverette

Glade is a native Swift library for on-device speech inference on Apple silicon. This repository supplies converted model assets and configuration for Glade's model-specific host runtime. Glade's runtime source is currently private. Glade conversion of Qwen3-ASR-1.7B by the Qwen Team, Alibaba Cloud, at source revision 7278e1e70fe206f11671096ffdd38061171dd6e5. The converted weights retain Apache-2.0 licensing; see LICENSE and NOTICE. This conversion is not endorsed by the upstream authors. This repository contains one offline transcription bundle, approximately 2.68 GB, using 30-second chunks and up to eight independent decoder lanes. It prefers ANE for both the audio encoder and…

Open weights apache-2.0

Model · Speech recognition

phonon-2-glade-experimental

Josh Leverette

Glade is a native Swift library for on-device speech inference on Apple silicon. This repository supplies converted model assets and configuration for Glade's model-specific host runtime. Glade's runtime source is currently private. Three experimental conversions of Fermion Research's Phonon-2 for Apple silicon and Core AI APIs on macOS/iOS 27. LUT6 is recommended for speed. The other variants expose the tradeoff between download size, working memory, and inference time. Phonon-2 is an encoder-heavy FastConformer/TDT model derived from NVIDIA Parakeet V3. The conversions preserve its trained five-value encoder weights and original INT6 decoder values. They use FP16 activations and the…

Open weights cc-by-4.0

Model · Speech recognition

parakeet-v3-glade

Josh Leverette

Glade is a native Swift library for on-device speech inference on Apple silicon. This repository supplies converted model assets and configuration for Glade's model-specific host runtime. Glade's runtime source is currently private. Glade conversion of NVIDIA Parakeet V3, pinned to 541d1f99c6b0c3cd0b11a95167540bb8edefd82b. Converted weights retain the upstream Creative Commons Attribution 4.0 license. See LICENSE and NOTICE. This conversion is not endorsed by NVIDIA. - fast/: full finite Fourier relative attention, 192 encoder positions, fixed 15-second chunks, and an FP16 ANE decoder batching up to 128 independent chunks. - quality/: full sinusoidal relative attention, shared weights for…

Open weights cc-by-4.0

Model · Speech recognition

parakeet-v2-glade

Josh Leverette

Glade is a native Swift library for on-device speech inference on Apple silicon. This repository supplies converted model assets and configuration for Glade's model-specific host runtime. Glade's runtime source is currently private. Glade conversion of NVIDIA Parakeet V2, pinned to ae9ad07059c7c739ffaf932226a8fe64ae2620b0. Converted weights retain the upstream Creative Commons Attribution 4.0 license. See LICENSE and NOTICE. This conversion is not endorsed by NVIDIA. - fast/: full finite Fourier relative attention, 192 encoder positions, fixed 15-second chunks, and an FP16 ANE decoder batching up to 128 independent chunks. - quality/: full sinusoidal relative attention, shared weights for…

Open weights cc-by-4.0

Model · Speech recognition

parakeet-ultra-glade

Josh Leverette

Glade is a native Swift library for on-device speech inference on Apple silicon. This repository supplies converted model assets and configuration for Glade's model-specific host runtime. Glade's runtime source is currently private. Glade conversion of Moondream Parakeet Ultra, a post-trained NVIDIA Parakeet TDT 0.6B V3 model. Source revision: 73175eb7aeb0d82f1e2a6b53b3aabc10a90bcd0b. The weights retain the upstream CC-BY-4.0 license. See LICENSE and NOTICE. This conversion is not endorsed by Moondream or NVIDIA. The repository contains one self-contained bundle. It preserves the model's native speech head to find pauses, selecting chunks of at most 30 seconds. All audio is retained…

Open weights cc-by-4.0

Glade is a native Swift library for on-device speech inference on Apple silicon. This repository supplies converted model assets and configuration for Glade's model-specific host runtime. Glade's runtime source is currently private. Glade assets using Apple Core AI APIs, derived from nvidia/nemotron-speech-streaming-en-0.6b, revision ebe59e5a817142986528bbbee5dba8db7b38ed50. Targets physical Apple silicon devices running macOS 27 or iOS 27. These are source.aimodel assets that specialize on the device. The bundle shares weights across 1.12-second quality and 160-millisecond preview entrypoints. It contains a W8A16 streaming encoder, FP16 causal subsampling, FP16 recurrent predictor and…

Open weights other

Glade is a native Swift library for on-device speech inference on Apple silicon. This repository supplies converted model assets and configuration for Glade's model-specific host runtime. Glade's runtime source is currently private. Glade assets using Apple Core AI APIs, derived from nvidia/nemotron-3.5-asr-streaming-0.6b, revision ea30d66debe3740a08b573244286791d423d6b3e. Targets physical Apple silicon devices running macOS 27 or iOS 27. These are source.aimodel assets that specialize on the device, not Core ML models or precompiled device-specific binaries. The bundle contains an ANE-oriented W8A16 streaming encoder, FP16 causal subsampling, FP16 ANE-oriented recurrent predictor and…

Open weights other

Model · Voice activity detection

nemotron-3-diarization-glade

Josh Leverette

Glade is a native Swift library for on-device speech inference on Apple silicon. This repository supplies converted model assets and configuration for Glade's model-specific host runtime. Glade's runtime source is currently private. FP16 Glade conversion of NVIDIA Nemotron 3 Diarization, source revision f667ed73aee57d40cc39428eb768b4fd87a0a29e, under OpenMDW-1.1. See LICENSE and NOTICE. This conversion is not endorsed by NVIDIA. Two self-contained bundles preserve streaming speaker identities and support An encoder position represents 80 ms of audio. Both policies update their speaker cache every 40 positions. Initial buffering is approximately 2.88 / 10.56 seconds. These are explicit…

Open weights openmdw-1.1

Glade is a native Swift library for on-device speech inference on Apple silicon. This repository supplies converted model assets and configuration for Glade's model-specific host runtime. Glade's runtime source is currently private. Glade source asset for IBM's English CTC speech recognizer, pinned to The upstream model and these converted weights use Apache License 2.0. Requires physical Apple silicon with macOS 27 or iOS 27 and Glade's host runtime. This is a source.aimodel, which Core AI specializes on the device. It is not a precompiled.aimodelc or a standalone transcription application. One static entry point, frames3072, handles up to 3,072 feature positions at approximately 50…

Open weights apache-2.0

Model · Speech recognition

granite-speech-4.1-2b-nar-glade

Josh Leverette

Glade is a native Swift library for on-device speech inference on Apple silicon. This repository supplies converted model assets and configuration for Glade's model-specific host runtime. Glade's runtime source is currently private. A community conversion of IBM Granite Speech 4.1 2B NAR for Glade, using Apple's Core AI APIs and optimized for Neural Engine execution on Apple silicon. The model combines a CTC acoustic encoder with one bidirectional, audio-conditioned transcript-editing pass. This is a W8A16 export: most convolution/projection weights are INT8 and activations are FP16. Conformer convolution output projections, normalization parameters, and the embedding table remain FP16.…

Open weights apache-2.0

Model · Speech recognition

cohere-transcribe-glade

Josh Leverette

Glade is a native Swift library for on-device speech inference on Apple silicon. This repository supplies converted model assets and configuration for Glade's model-specific host runtime. Glade's runtime source is currently private. Glade conversion of Cohere Transcribe, pinned to revision 76b8b23e8607f35f0265a23d481b338fb0e26aea. The upstream model and converted weights use Apache License 2.0. Requires physical Apple silicon with macOS 27 or iOS 27 and Glade's model-specific host runtime. These graphs do not accept raw audio directly. The host provides the log-mel frontend, language prompt, token embeddings, autoregressive cache management and tokenization. See metadata.json…

Open weights apache-2.0