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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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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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Shieldstral-1.0-3B

litert-community

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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SmolVLM2-500M

litert-community

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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Visual QA
Input Text · Image→ Output Text
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sopro-v2-turbo

litert-community

Sample from the converted model (plain fp16 weights + int8 AR, streaming vocoder) cloning a CC0 volunteer voice from kyutai/tts-voices (`voice-donations/0a67`): assets/hero_sample.wav — “The morning light fell across the garden while a small bird sang beside the open window.” Source and license of the reference voice: assets/ATTRIBUTION.md. These classic `.tflite` graphs convert Samuel Vitorino's Sopro v2 turbo, a reference-conditioned text-to-speech model for English, European Portuguese, French and German, to the LiteRT CompiledModel API. The package provides fp32 reference graphs, plain weight-only fp16 graphs and a native-int8 merged AR alternative. It produces 24 kHz audio and includes a streaming vocoder, while resampling, spectral DSP, token sampling and the acoustic solver loop stay on the host. The upstream model and source are Apache-2.0; the included LICENSE is retained verbatim. Conversion used `sopro==2.2.0` and upstream model revision `f747f9edfb7b0233a3b7105af3a75603a7213d26`. The file sizes below are exact bytes. There are fourteen fp32 graph files, fourteen plain wfp16 graph files and one native-int8 merged AR file. The Android variants add eight fp32, seven wfp16 and one int8 graph file (rows marked "Android variant"), plus the app source under `android/`. Separate AR prefill/step files and merged alternatives are included so callers can choose one form without loading both. This table covers the executable artifacts, host assets and conversion sources.

Speech synthesis
Input Text→ Output Audio
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Spark-X2.5-1.7B

litert-community

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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Text generation
Input Text→ Output Text
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Ternary-Bonsai-1.7B

litert-community

Ternary (INT2) `.litertlm` bundles of `prism-ml/Ternary-Bonsai-1.7B-unpacked`, packaged for the LiteRT-LM runtime and Google AI Edge Gallery. > **Recommended: `bonsai-1.7b-int2pc-4k-gpu.litertlm`.** The plain, unmodified build with > no optimizations applied. Everything else in this repo is **experimental** — longer > context or lighter activations, but whether a given one loads depends on your app's > LiteRT / LiteRT-LM version and dependencies. Start with the recommended build; reach for > an experimental one only if you specifically need what it offers. `32768` is the model's full context — `max_position_embeddings` for Ternary-Bonsai-1.7B is 32768, so the long-context builds here sit at the ceiling rather than truncating it.

Text generation
Input Text→ Output Text
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whisper-base

litert-community

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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Speech recognition
Input Audio→ Output Text
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