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distil-whisper-large-v3-litert-int8
aoiandroid/distil-whisper-large-v3-litert-int8
distil-whisper-large-v3-litert-int8 is a automatic speech recognition model from aoiandroid. Use it when you need speech turned into text. It is set up for litert. The card lists the license as mit.
📱 Official Engine-Ready INT8 Quantized LiteRT Model Package (.litertlm) for distil-whisper/distil-large-v3
Access
Public
Updated Aug 2, 2026
Repo size
3 GB
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0
Public
Repo makeup
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.litertlm832 MB · 100%
At a glance
- Task
- Automatic Speech Recognition
- Library
- litert
- License
- mit
- Access
- Public
- Created
- Jul 25, 2026
- Updated
- Aug 2, 2026
- SHA
- bff1ed83
Base models
Model card
From the Hugging Face model README
distil-whisper-large-v3-litert-int8
📱 Official Engine-Ready INT8 Quantized LiteRT Model Package (.litertlm) for distil-whisper/distil-large-v3
This repository contains the Engine-Compatible LiteRT-LM Binary Container (.litertlm) for distil-whisper/distil-large-v3, compliant with Google CLiteRTLM Engine and TranslateBlue BlueScribe.
Section Table Inventory (LITERTLM Binary Header)
| Section Index | Section Type ID | Section Name | Notes |
|---|---|---|---|
| 0 | 5 | LlmMetadataProto | Present (Model architecture: whisper, sample rate: 16000, BPE token specs) |
| 1 | 3 | TFLiteModel | Present (831.52 MB INT8 dynamic quantized model weights) |
| 2 | 6 | HF_Tokenizer_Zlib | Present (Zlib-compressed BPE tokenizer tokenizer.json) |
Primary Artifact
distil_whisper_large_v3_int8_mobile.litertlm(793.66 MB): Engine-ready binary container withLlmMetadataProtoSection 5.
Highlights
- 87% Size Reduction: Shrinks model footprint from 3.55 GB to ~832 MB.
- Engine-Ready Compliance: Includes
LlmMetadataProtoSection 5 to preventbad_optional_accesscrashes duringLiteRTLM.Enginestartup. - Integrated BPE Tokenizer: Embedded zlib compressed
HF_Tokenizer_Zlib(Section 6).
- Task
- Automatic Speech Recognition
- Library
- litert
- License
- mit
- Created
- Jul 25, 2026
- Updated
- Aug 2, 2026