LogoFlutter Edge AI

Model Registry

Every LiteRT model build flutter_edge_ai runs, pinned to its Hugging Face commit, with where it runs and how that is known.

Every LiteRT build the packages run, each pinned to a Hugging Face commit, and for every platform and backend what is known about it. The same data is in models.json. Install a build by name, with no URL to copy:

await FlutterEdgeAi.installModelFromCatalog(LiteRtLmModels.gemma4E2bIt.generic).install();
MarkMeaning
✅ verified Passed on that host and backend with the native build the packages ship now
🕓 stalePassed there on an earlier native build; not run since it changed
📝 documentedDocumented as working; not yet re-run with a recorded log
⚪ untestedThe package runs it there; nobody has recorded a run
⛔ refusedThis version of the package does not run it there
⏸️ withheldLeft out of the catalog; the note says why
❌ brokenKnown not to work there; see the issue

A blank cell is a combination that does not exist: a build compiled for one NPU on another platform, a web export on a phone, or a native build on the web. Package versions: flutter_edge_ai 2.5.4, flutter_edge_ai_litertlm 1.19.0, flutter_edge_ai_speech 0.5.12.

Language models#

DeepSeek R1 Distill Qwen 1.5B#

deepseek-r1-distill-qwen-1.5b · mit · Hugging Face

Build Android iOS macOS Windows x64 Linux x64 Linux arm64 Web
q8-ekv4096
1.83 GB
GPU ⚪ CPU ⚪ GPU ⚪ CPU ⚪ GPU ⚪ CPU ⚪ GPU ⚪ CPU ⚪ GPU ⚪ CPU ⚪ GPU ⚪ CPU ⚪

FastVLM 0.5B#

fastvlm-0.5b · apple-amlr · Hugging Face

Build Android iOS macOS Windows x64 Linux x64 Linux arm64 Web
generic
1.16 GB
GPU ⚪ CPU ⚪ GPU ⚪ CPU ⚪ GPU 📝 CPU ⚪ GPU 📝 CPU ⚪ GPU 📝 CPU ⚪ GPU ⚪ CPU ⚪
npu-sm8750
943 MB · context 1280
NPU ⚪ NPU ⚪
npu-sm8850
942 MB · context 1280
NPU ⚪ NPU ⚪

FunctionGemma 270M (Flutter demo fine-tune)#

functiongemma-270m-flutter-demo · unspecified · Hugging Face

Build Android iOS macOS Windows x64 Linux x64 Linux arm64 Web
q8-ekv1024
284 MB
GPU ⚪ CPU ⚪ GPU ⚪ CPU ⚪ GPU ⚪ CPU ⚪ GPU ⚪ CPU ⚪ GPU ⚪ CPU ⚪ GPU ⚪ CPU ⚪

FunctionGemma 270M#

functiongemma-270m-it · unspecified · Hugging Face

Build Android iOS macOS Windows x64 Linux x64 Linux arm64 Web
generic
284 MB
GPU 📝 CPU ⚪ GPU 📝 CPU ⚪ GPU 📝 CPU ⚪ GPU 📝 CPU ⚪ GPU 📝 CPU ⚪ GPU ⚪ CPU ⚪

Gemma 3 1B#

gemma-3-1b-it · gemma · Hugging Face

Build Android iOS macOS Windows x64 Linux x64 Linux arm64 Web
q4-ekv4096
584 MB
GPU ⚪ CPU ⚪ GPU ⚪ CPU ⚪ GPU 📝 CPU ⚪ GPU 📝 CPU ⚪ GPU 📝 CPU ⚪ GPU ⚪ CPU ⚪
npu-mt6989
1.03 GB · context 1280
NPU 📝
npu-mt6991
1.03 GB · context 1280
NPU ⚪
npu-mt6993
1.02 GB · context 1280
NPU ⚪
npu-sm8850
694 MB · context 1280
NPU 📝 NPU ⚪
npu-tensor-g5
1.68 GB · context 1280
NPU ⚪
npu-tensor-g6
2.04 GB · context 1280
NPU ⚪
  • Documented: the Models page (at 0c626b2).
  • Documented: PR #697, run on a DDP Galaxy Tab S10+ (MT6989).
  • Documented: PR #701, Gemma 3 NPU prefill chunks (LiteRT-LM#3508).

Gemma 3 270M#

gemma-3-270m-it · gemma · Hugging Face

Build Android iOS macOS Windows x64 Linux x64 Linux arm64 Web
q8
304 MB
GPU ⚪ CPU ⚪ GPU ⚪ CPU ⚪ GPU 📝 CPU ⚪ GPU 📝 CPU ⚪ GPU 📝 CPU ⚪ GPU ⚪ CPU ⚪
npu-mt6991
554 MB · context 4096
NPU ⚪
npu-mt6993
555 MB · context 4096
NPU ⚪

Gemma 3n E2B#

gemma-3n-e2b-it · gemma · Hugging Face

Build Android iOS macOS Windows x64 Linux x64 Linux arm64 Web
generic
3.66 GB
GPU 📝 CPU ⚪ GPU 📝 CPU ⚪ GPU 📝 CPU ⚪ GPU 📝 CPU ⚪ GPU 📝 CPU ⚪ GPU ⚪ CPU ⚪
web
3.04 GB
GPU 📝
npu-mt6993
4.33 GB · context 2048
NPU ⚪

Gemma 3n E4B#

gemma-3n-e4b-it · gemma · Hugging Face

Build Android iOS macOS Windows x64 Linux x64 Linux arm64 Web
generic
4.92 GB
GPU 📝 CPU ⚪ GPU 📝 CPU ⚪ GPU 📝 CPU ⚪ GPU 📝 CPU ⚪ GPU 📝 CPU ⚪ GPU ⚪ CPU ⚪
web
4.28 GB
GPU 📝

Gemma 4 E2B#

gemma-4-e2b-it · apache-2.0 · Hugging Face

Build Android iOS macOS Windows x64 Linux x64 Linux arm64 Web
generic
2.59 GB
GPU 📝 CPU 📝 GPU 📝 CPU 📝 GPU 🕓 CPU 🕓 GPU 📝 CPU 📝 GPU 📝 CPU 📝 GPU 📝 CPU 📝
gpu
2.01 GB
GPU ⚪ CPU ⚪ GPU ⚪ CPU ⚪ GPU ⚪ CPU ⚪ GPU ⚪ CPU ⚪ GPU ⚪ CPU ⚪ GPU ⚪ CPU ⚪
web
2.01 GB
GPU 📝
npu-tensor-g5
3.11 GB · context 4096
NPU ⚪
npu-tensor-g6
3.31 GB · context 4096
NPU 📝
npu-lnl
2.96 GB · context 4096
NPU 📝
npu-ptl
2.95 GB · context 4096
NPU ⚪
npu-qcs8275
3.29 GB · context 4096
NPU ⚪ NPU 📝
npu-sm8750
3.02 GB · context 4096
NPU 📝 NPU ⚪
  • Documented: PR #688, device matrix (native-v0.18.0-f).
  • Stale on macOS: MacBook Pro (M4 Pro), 2026-10-20, flutter_edge_ai_litertlm 1.16.1.
  • Documented: PR #602, VENTUNO Q run (native-v0.18.0-c, litertlm 1.11.0).
  • Documented: the Models page (at 0c626b2).

Gemma 4 E4B#

gemma-4-e4b-it · apache-2.0 · Hugging Face

Build Android iOS macOS Windows x64 Linux x64 Linux arm64 Web
generic
3.66 GB
GPU 📝 CPU ⚪ GPU 📝 CPU ⚪ GPU 📝 CPU ⚪ GPU 📝 CPU ⚪ GPU 📝 CPU ⚪ GPU ⚪ CPU ⚪
gpu
2.97 GB
GPU ⚪ CPU ⚪ GPU ⚪ CPU ⚪ GPU ⚪ CPU ⚪ GPU ⚪ CPU ⚪ GPU ⚪ CPU ⚪ GPU ⚪ CPU ⚪
web
2.97 GB
GPU 📝

LFM2.5 230M#

lfm2.5-230m · other · Hugging Face

Build Android iOS macOS Windows x64 Linux x64 Linux arm64 Web
int4
177 MB
GPU 📝 CPU ⚪ GPU 📝 CPU ⚪ GPU 📝 CPU ⚪ GPU 📝 CPU ⚪ GPU 📝 CPU ⚪ GPU ⚪ CPU ⚪
int8
266 MB
GPU ⚪ CPU ⚪ GPU ⚪ CPU ⚪ GPU ⚪ CPU ⚪ GPU ⚪ CPU ⚪ GPU ⚪ CPU ⚪ GPU ⚪ CPU ⚪

LLaVA-OneVision 0.5B#

llava-onevision-0.5b · apache-2.0 · Hugging Face

Build Android iOS macOS Windows x64 Linux x64 Linux arm64 Web
generic
829 MB
GPU 📝 CPU ⚪ GPU 📝 CPU ⚪ GPU 📝 CPU ⚪ GPU 📝 CPU ⚪ GPU 📝 CPU ⚪ GPU ⚪ CPU ⚪

Phi-4 Mini Instruct#

phi-4-mini-instruct · mit · Hugging Face

Build Android iOS macOS Windows x64 Linux x64 Linux arm64 Web
q8-ekv4096
3.91 GB
GPU ⚪ CPU ⚪ GPU ⚪ CPU ⚪ GPU 📝 CPU ⚪ GPU 📝 CPU ⚪ GPU 📝 CPU ⚪ GPU ⚪ CPU ⚪

Phi-4 Mini Reasoning#

phi-4-mini-reasoning · mit · Hugging Face

Build Android iOS macOS Windows x64 Linux x64 Linux arm64 Web
generic
2.78 GB
GPU 📝 CPU ⚪ GPU 📝 CPU ⚪ GPU 📝 CPU ⚪ GPU 📝 CPU ⚪ GPU 📝 CPU ⚪ GPU ⚪ CPU ⚪

Qwen2-VL 2B#

qwen2-vl-2b · apache-2.0 · Hugging Face

Build Android iOS macOS Windows x64 Linux x64 Linux arm64 Web
generic
1.78 GB
GPU 📝 CPU ⚪ GPU 📝 CPU ⚪ GPU 📝 CPU ⚪ GPU 📝 CPU ⚪ GPU 📝 CPU ⚪ GPU ⚪ CPU ⚪

Qwen 2.5 1.5B Instruct#

qwen2.5-1.5b-instruct · apache-2.0 · Hugging Face

Build Android iOS macOS Windows x64 Linux x64 Linux arm64 Web
q8-ekv4096
1.60 GB
GPU ⚪ CPU ⚪ GPU ⚪ CPU ⚪ GPU ⚪ CPU 📝 GPU ⚪ CPU 📝 GPU ⚪ CPU 📝 GPU ⚪ CPU ⚪
f32-ekv4096
6.18 GB
GPU ⚪ CPU ⚪ GPU ⚪ CPU ⚪ GPU ⚪ CPU ⚪ GPU ⚪ CPU ⚪ GPU ⚪ CPU ⚪ GPU ⚪ CPU ⚪

Qwen3 0.6B#

qwen3-0.6b · apache-2.0 · Hugging Face

Build Android iOS macOS Windows x64 Linux x64 Linux arm64 Web
dynamic-int4
345 MB
GPU ⚪ CPU 📝 GPU ⚪ CPU 📝 GPU ⚪ CPU 📝 GPU ⚪ CPU 📝 GPU ⚪ CPU 📝 GPU ⚪ CPU ⚪
standard
614 MB
GPU ⏸️ CPU ⏸️ GPU ⏸️ CPU ⏸️ GPU ⏸️ CPU ⏸️ GPU ⏸️ CPU ⏸️ GPU ⏸️ CPU ⏸️ GPU ⏸️ CPU ⏸️
mixed-int4
498 MB
GPU ⚪ CPU ⚪ GPU ⚪ CPU ⚪ GPU ⚪ CPU ⚪ GPU ⚪ CPU ⚪ GPU ⚪ CPU ⚪ GPU ⚪ CPU ⚪
npu-mt6993
1.20 GB · context 4096
NPU ⚪
  • Documented: the Models page (at 0c626b2).
  • Withheld: The catalog offers the dynamic INT4 build. This file failed to load from flutter_edge_ai_litertlm 1.7.0 until the repo replaced its tokenizer on 2026-10-13; the bytes pinned here are the replacement, which loads on macOS (litertlm 1.15.0) and has not been run elsewhere. A copy downloaded before 2026-10-13 still fails. Issue.

SmolLM3 3B#

smollm3-3b · apache-2.0 · Hugging Face

Build Android iOS macOS Windows x64 Linux x64 Linux arm64 Web
q4-block32-ekv4096
2.00 GB
GPU 📝 CPU ⚪ GPU 📝 CPU ⚪ GPU 📝 CPU ⚪ GPU 📝 CPU ⚪ GPU 📝 CPU ⚪ GPU ⚪ CPU ⚪
standard
3.13 GB
GPU ⚪ CPU ⚪ GPU ⚪ CPU ⚪ GPU ⚪ CPU ⚪ GPU ⚪ CPU ⚪ GPU ⚪ CPU ⚪ GPU ⚪ CPU ⚪

SmolVLM2 500M#

smolvlm2-500m · apache-2.0 · Hugging Face

Build Android iOS macOS Windows x64 Linux x64 Linux arm64 Web
generic
361 MB
GPU 📝 CPU ⚪ GPU 📝 CPU ⚪ GPU 📝 CPU ⚪ GPU 📝 CPU ⚪ GPU 📝 CPU ⚪ GPU ⚪ CPU ⚪

TranslateGemma 4B#

translategemma-4b-it · other · Hugging Face

Build Android iOS macOS Windows x64 Linux x64 Linux arm64 Web
int4
2.01 GB
GPU ❌ CPU 📝 GPU ❌ CPU 📝 GPU ❌ CPU 📝 GPU ❌ CPU 📝 GPU ❌ CPU 📝 GPU ❌ CPU ⚪
int8
3.92 GB
GPU ❌ CPU 📝 GPU ❌ CPU 📝 GPU ❌ CPU 📝 GPU ❌ CPU 📝 GPU ❌ CPU 📝 GPU ❌ CPU ⚪
int4-multimodal
2.76 GB
GPU ❌ CPU ⚪ GPU ❌ CPU ⚪ GPU ❌ CPU ⚪ GPU ❌ CPU ⚪ GPU ❌ CPU ⚪ GPU ❌ CPU ⚪
  • Broken: On GPU the model emits only <pad> tokens. Issue.
  • Documented: the Models page (at 0c626b2).

Embedding models#

EmbeddingGemma 2 Text + Vision + Audio 740M#

embeddinggemma-2-740m · apache-2.0 · Hugging Face

Build Android iOS macOS Windows x64 Linux x64 Linux arm64 Web
generic
485 MB
GPU ⛔ CPU 📝 GPU ⛔ CPU 📝 GPU ⛔ CPU 📝 GPU ⛔ CPU 📝 GPU ⚪ CPU 📝 GPU ⛔ CPU ⚪ GPU 📝
npu-mt6991
895 MB
NPU ⚪
npu-mt6993
865 MB
NPU ⚪
npu-ptl
856 MB
NPU ⚪
npu-qcs8275
563 MB
NPU ⚪ NPU ⚪
npu-sm8550
563 MB
NPU ⚪ NPU ⚪
npu-sm8650
563 MB
NPU ⚪ NPU ⚪
npu-sm8750
544 MB
NPU ⚪ NPU ⚪
npu-sm8850
559 MB
NPU 📝 NPU ⚪
npu-tensor-g5
658 MB
NPU ⚪
npu-tensor-g6
616 MB
NPU ⚪

EmbeddingGemma 2 Text 270M#

embeddinggemma-2-text-270m · apache-2.0 · Hugging Face

Build Android iOS macOS Windows x64 Linux x64 Linux arm64 Web
generic
165 MB
GPU ⛔ CPU 📝 GPU ⛔ CPU 📝 GPU ⛔ CPU 🕓 GPU ⛔ CPU 📝 GPU ⚪ CPU 📝 GPU ⛔ CPU 📝 GPU 📝
npu-mt6991
416 MB
NPU ⚪
npu-mt6993
386 MB
NPU ⚪
npu-ptl
317 MB
NPU 📝
npu-qcs8275
208 MB
NPU ⚪ NPU 📝
npu-sm8550
208 MB
NPU ⚪ NPU ⚪
npu-sm8650
208 MB
NPU 📝 NPU ⚪
npu-sm8750
188 MB
NPU ⚪ NPU ⚪
npu-sm8850
202 MB
NPU 📝 NPU ⚪
npu-tensor-g5
166 MB
NPU ⚪
npu-tensor-g6
200 MB
NPU 📝
  • Documented: PR #688, device matrix (native-v0.18.0-f).
  • Stale on macOS: MacBook Pro (M4 Pro), 2026-10-20, flutter_edge_ai_litertlm 1.16.1.
  • Documented: the Models page (at 0c626b2).
  • Documented: PR #702, Panther Lake run (native-v0.18.0-g).
  • Documented: the Embeddings & RAG page (at da9a3cb).
  • Documented: the Embeddings & RAG page (at da9a3cb).

EmbeddingGemma 2 Text + Vision 440M#

embeddinggemma-2-text-vision-440m · apache-2.0 · Hugging Face

Build Android iOS macOS Windows x64 Linux x64 Linux arm64 Web
generic
388 MB
GPU ⛔ CPU 📝 GPU ⛔ CPU 📝 GPU ⛔ CPU 📝 GPU ⛔ CPU 📝 GPU ⚪ CPU 📝 GPU ⛔ CPU 📝 GPU 📝
npu-mt6991
798 MB
NPU ⚪
npu-mt6993
768 MB
NPU ⚪
npu-ptl
752 MB
NPU ⚪
npu-qcs8275
466 MB
NPU ⚪ NPU 📝
npu-sm8550
466 MB
NPU ⚪ NPU ⚪
npu-sm8650
466 MB
NPU 📝 NPU ⚪
npu-sm8750
447 MB
NPU ⚪ NPU ⚪
npu-sm8850
463 MB
NPU 📝 NPU ⚪
npu-tensor-g5
559 MB
NPU ⚪
npu-tensor-g6
513 MB
NPU 📝
  • Documented: PR #688, device matrix (native-v0.18.0-f).
  • Documented: the Models page (at 0c626b2).
  • Documented: the Embeddings & RAG page (at da9a3cb).
  • Documented: the Embeddings & RAG page (at da9a3cb).

EmbeddingGemma 300M#

embeddinggemma-300m · gemma · Hugging Face

Build Android iOS macOS Windows x64 Linux x64 Linux arm64 Web
seq256
179 MB
GPU ⛔ CPU 📝 GPU ⛔ CPU 📝 GPU ⛔ CPU 📝 GPU ⛔ CPU 📝 GPU ⛔ CPU 📝 GPU ⛔ CPU ⚪ GPU ⚪ CPU ⚪
seq256-npu-mt6991
188 MB
NPU ⛔
seq256-npu-mt6993
176 MB
NPU ⛔
seq256-npu-sm8550
184 MB
NPU ⛔ NPU ⛔
seq256-npu-sm8650
184 MB
NPU ⛔ NPU ⛔
seq256-npu-sm8750
182 MB
NPU ⛔ NPU ⛔
seq256-npu-sm8850
182 MB
NPU ⛔ NPU ⛔
seq256-npu-tensor-g5
191 MB
NPU ⛔
seq256-npu-tensor-g6
201 MB
NPU ⛔
seq512
179 MB
GPU ⛔ CPU 📝 GPU ⛔ CPU 📝 GPU ⛔ CPU 📝 GPU ⛔ CPU 📝 GPU ⛔ CPU 📝 GPU ⛔ CPU ⚪ GPU ⚪ CPU ⚪
seq512-npu-mt6991
188 MB
NPU ⛔
seq512-npu-mt6993
184 MB
NPU ⛔
seq512-npu-sm8550
190 MB
NPU ⛔ NPU ⛔
seq512-npu-sm8650
190 MB
NPU ⛔ NPU ⛔
seq512-npu-sm8750
184 MB
NPU ⛔ NPU ⛔
seq512-npu-sm8850
184 MB
NPU ⛔ NPU ⛔
seq512-npu-tensor-g5
192 MB
NPU ⛔
seq512-npu-tensor-g6
202 MB
NPU ⛔
seq1024
183 MB
GPU ⛔ CPU 📝 GPU ⛔ CPU 📝 GPU ⛔ CPU 📝 GPU ⛔ CPU 📝 GPU ⛔ CPU 📝 GPU ⛔ CPU ⚪ GPU ⚪ CPU ⚪
seq1024-npu-mt6991
188 MB
NPU ⛔
seq1024-npu-mt6993
186 MB
NPU ⛔
seq1024-npu-sm8550
195 MB
NPU ⛔ NPU ⛔
seq1024-npu-sm8650
195 MB
NPU ⛔ NPU ⛔
seq1024-npu-sm8750
195 MB
NPU ⛔ NPU ⛔
seq1024-npu-sm8850
199 MB
NPU ⛔ NPU ⛔
seq1024-npu-tensor-g5
202 MB
NPU ⛔
seq1024-npu-tensor-g6
210 MB
NPU ⛔
seq2048
196 MB
GPU ⛔ CPU 📝 GPU ⛔ CPU 📝 GPU ⛔ CPU 📝 GPU ⛔ CPU 📝 GPU ⛔ CPU 📝 GPU ⛔ CPU ⚪ GPU ⚪ CPU ⚪
seq2048-npu-mt6991
194 MB
NPU ⛔
seq2048-npu-mt6993
192 MB
NPU ⛔
seq2048-npu-sm8550
245 MB
NPU ⛔ NPU ⛔
seq2048-npu-sm8650
245 MB
NPU ⛔ NPU ⛔
seq2048-npu-sm8750
220 MB
NPU ⛔ NPU ⛔
seq2048-npu-sm8850
222 MB
NPU ⛔ NPU ⛔
seq2048-npu-tensor-g5
248 MB
NPU ⛔
seq2048-npu-tensor-g6
252 MB
NPU ⛔

Gecko 110M (English)#

gecko-110m-en · apache-2.0 · Hugging Face

Build Android iOS macOS Windows x64 Linux x64 Linux arm64 Web
seq64-quant
112 MB
GPU ⛔ CPU 📝 GPU ⛔ CPU 📝 GPU ⛔ CPU 📝 GPU ⛔ CPU 📝 GPU ⛔ CPU 📝 GPU ⛔ CPU ⚪ GPU ⚪ CPU ⚪
seq256-quant
114 MB
GPU ⛔ CPU 📝 GPU ⛔ CPU 📝 GPU ⛔ CPU 📝 GPU ⛔ CPU 📝 GPU ⛔ CPU 📝 GPU ⛔ CPU ⚪ GPU ⚪ CPU ⚪
seq512-quant
120 MB
GPU ⛔ CPU 📝 GPU ⛔ CPU 📝 GPU ⛔ CPU 📝 GPU ⛔ CPU 📝 GPU ⛔ CPU 📝 GPU ⛔ CPU ⚪ GPU ⚪ CPU ⚪
seq1024-quant
146 MB
GPU ⛔ CPU ⚪ GPU ⛔ CPU ⚪ GPU ⛔ CPU ⚪ GPU ⛔ CPU ⚪ GPU ⛔ CPU ⚪ GPU ⛔ CPU ⚪ GPU ⚪ CPU ⚪
seq64-f32
441 MB
GPU ⛔ CPU ⚪ GPU ⛔ CPU ⚪ GPU ⛔ CPU ⚪ GPU ⛔ CPU ⚪ GPU ⛔ CPU ⚪ GPU ⛔ CPU ⚪ GPU ⚪ CPU ⚪
seq256-f32
443 MB
GPU ⛔ CPU ⚪ GPU ⛔ CPU ⚪ GPU ⛔ CPU ⚪ GPU ⛔ CPU ⚪ GPU ⛔ CPU ⚪ GPU ⛔ CPU ⚪ GPU ⚪ CPU ⚪
seq512-f32
449 MB
GPU ⛔ CPU ⚪ GPU ⛔ CPU ⚪ GPU ⛔ CPU ⚪ GPU ⛔ CPU ⚪ GPU ⛔ CPU ⚪ GPU ⛔ CPU ⚪ GPU ⚪ CPU ⚪
seq1024-f32
475 MB
GPU ⛔ CPU ⚪ GPU ⛔ CPU ⚪ GPU ⛔ CPU ⚪ GPU ⛔ CPU ⚪ GPU ⛔ CPU ⚪ GPU ⛔ CPU ⚪ GPU ⚪ CPU ⚪

Speech to text#

Moonshine Tiny#

moonshine-tiny · mit · Hugging Face

Build Android iOS macOS Windows x64 Linux x64 Linux arm64 Web
f32
109 MB
GPU ⚪ CPU 📝 GPU ⚪ CPU 📝 GPU ⚪ CPU ✅ GPU ⚪ CPU 📝 GPU ⚪ CPU 📝 GPU ⚪ CPU 📝
i8
52 MB
GPU ⚪ CPU 📝 GPU ⚪ CPU 📝 GPU ⚪ CPU 📝 GPU ⚪ CPU 📝 GPU ⚪ CPU 📝 GPU ⚪ CPU ⚪
f32-npu-mt6877
102 MB
NPU ⛔
f32-npu-mt6878
98 MB
NPU ⛔
f32-npu-mt6879
102 MB
NPU ⛔
f32-npu-mt6897
98 MB
NPU ⛔
f32-npu-mt6983
98 MB
NPU ⛔
f32-npu-mt6985
98 MB
NPU ⛔
f32-npu-mt6989
97 MB
NPU ⛔
f32-npu-mt6991
98 MB
NPU ⛔
f32-npu-mt6993
95 MB
NPU ⛔
f32-npu-mt8171
98 MB
NPU ⛔
f32-npu-mt8188
98 MB
NPU ⛔
f32-npu-mt8189
98 MB
NPU ⛔
f32-npu-sa8255
77 MB
NPU ⛔ NPU ⛔
f32-npu-sa8295
77 MB
NPU ⛔ NPU ⛔
f32-npu-sm8450
77 MB
NPU ⛔ NPU ⛔
f32-npu-sm8550
77 MB
NPU ⛔ NPU ⛔
f32-npu-sm8650
77 MB
NPU ⛔ NPU ⛔
f32-npu-sm8750
77 MB
NPU ⛔ NPU ⛔
f32-npu-sm8850
78 MB
NPU ⛔ NPU ⛔
  • Documented: the Models page (at 0c626b2).
  • Verified on macOS: MacBook Pro (M4 Pro), 2026-10-20, flutter_edge_ai_speech 0.5.10.
  • Documented: PR #688, device matrix (native-v0.18.0-f).

Parakeet CTC 0.6B#

parakeet-ctc-0.6b · cc-by-4.0 · Hugging Face

Build Android iOS macOS Windows x64 Linux x64 Linux arm64 Web
f32
2.35 GB
GPU ⚪ CPU 📝 GPU ⚪ CPU ⚪ GPU ⚪ CPU 📝 GPU ⚪ CPU 📝 GPU ⚪ CPU 📝 GPU ⚪ CPU ⚪
i8
596 MB
GPU ⚪ CPU 📝 GPU ⚪ CPU ⚪ GPU ⚪ CPU ⚪ GPU ⚪ CPU ⚪ GPU ⚪ CPU ⚪ GPU ⚪ CPU ⚪
f32-npu-mt6877
1.20 GB
NPU ⛔
f32-npu-mt6878
1.18 GB
NPU ⛔
f32-npu-mt6879
1.20 GB
NPU ⛔
f32-npu-mt6897
1.18 GB
NPU ⛔
f32-npu-mt6983
1.18 GB
NPU ⛔
f32-npu-mt6985
1.18 GB
NPU ⛔
f32-npu-mt6989
1.18 GB
NPU ⛔
f32-npu-mt6991
1.18 GB
NPU ⛔
f32-npu-mt6993
1.18 GB
NPU ⛔
f32-npu-mt8171
1.18 GB
NPU ⛔
f32-npu-mt8188
1.18 GB
NPU ⛔
f32-npu-mt8189
1.18 GB
NPU ⛔
f32-npu-sa8255
1.21 GB
NPU ⛔ NPU ⛔
f32-npu-sa8295
1.20 GB
NPU ⛔ NPU ⛔
f32-npu-sm8450
1.20 GB
NPU ⛔ NPU ⛔
f32-npu-sm8550
1.21 GB
NPU ⛔ NPU ⛔
f32-npu-sm8650
1.21 GB
NPU ⛔ NPU ⛔
f32-npu-sm8750
1.21 GB
NPU ⛔ NPU ⛔
f32-npu-sm8850
1.21 GB
NPU ⛔ NPU ⛔
f32-npu-tensor-g3
2 MB
NPU ⛔
  • Documented: PR #752, Galaxy S23 (Snapdragon 8 Gen 2), one 5 s window.
  • Documented: the Models page (at 0c626b2).

Whisper Base#

whisper-base · apache-2.0 · Hugging Face

Build Android iOS macOS Windows x64 Linux x64 Linux arm64 Web
f32
290 MB
GPU ⚪ CPU ⚪ GPU ⚪ CPU ⚪ GPU ⚪ CPU ⚪ GPU ⚪ CPU ⚪ GPU ⚪ CPU ⚪ GPU ⚪ CPU ⚪
i8
77 MB
GPU ⚪ CPU 📝 GPU ⚪ CPU 📝 GPU ⚪ CPU 📝 GPU ⚪ CPU 📝 GPU ⚪ CPU 📝 GPU ⚪ CPU ⚪

Whisper Tiny#

whisper-tiny · apache-2.0 · Hugging Face

Build Android iOS macOS Windows x64 Linux x64 Linux arm64 Web
f32
151 MB
GPU ⚪ CPU 📝 GPU ⚪ CPU 📝 GPU ⚪ CPU 📝 GPU ⚪ CPU 📝 GPU ⚪ CPU 📝 GPU ⚪ CPU ⚪
i8
41 MB
GPU ⚪ CPU 📝 GPU ⚪ CPU 📝 GPU ⚪ CPU 📝 GPU ⚪ CPU 📝 GPU ⚪ CPU 📝 GPU ⚪ CPU ⚪
f32-npu-mt6877
158 MB
NPU ⛔
f32-npu-mt6878
156 MB
NPU ⛔
f32-npu-mt6879
158 MB
NPU ⛔
f32-npu-mt6897
156 MB
NPU ⛔
f32-npu-mt6983
156 MB
NPU ⛔
f32-npu-mt6985
156 MB
NPU ⛔
f32-npu-mt6989
156 MB
NPU ⛔
f32-npu-mt6991
156 MB
NPU ⛔
f32-npu-mt6993
156 MB
NPU ⛔
f32-npu-mt8171
156 MB
NPU ⛔
f32-npu-mt8188
156 MB
NPU ⛔
f32-npu-mt8189
156 MB
NPU ⛔
f32-npu-sa8255
120 MB
NPU ⛔ NPU ⛔
f32-npu-sa8295
119 MB
NPU ⛔ NPU ⛔
f32-npu-sm8450
119 MB
NPU ⛔ NPU ⛔
f32-npu-sm8550
120 MB
NPU ⛔ NPU ⛔
f32-npu-sm8650
120 MB
NPU ⛔ NPU ⛔
f32-npu-sm8750
120 MB
NPU ⛔ NPU ⛔
f32-npu-sm8850
120 MB
NPU ⛔ NPU ⛔

Text to speech#

Inflect-Nano-v2#

inflect-nano-v2 · apache-2.0 · Hugging Face

Build Android iOS macOS Windows x64 Linux x64 Linux arm64 Web
bundle
36 MB
GPU ⚪ CPU 📝 GPU ⚪ CPU 📝 GPU ⚪ CPU 📝 GPU ⚪ CPU 📝 GPU ⚪ CPU 📝 GPU ⚪ CPU ⚪

Matcha-TTS#

matcha-tts · mit · Hugging Face

Build Android iOS macOS Windows x64 Linux x64 Linux arm64 Web
bundle
94 MB
GPU ⚪ CPU 📝 GPU ⚪ CPU 📝 GPU ⚪ CPU ✅ GPU ⚪ CPU 📝 GPU ⚪ CPU 📝 GPU ⚪ CPU 📝
  • Documented: the Models page (at 0c626b2).
  • Verified on macOS: MacBook Pro (M4 Pro), 2026-10-20, flutter_edge_ai_speech 0.5.10.
  • Documented: PR #688, device matrix (native-v0.18.0-f).

Qwen3-TTS 0.6B#

qwen3-tts-0.6b · apache-2.0 · Hugging Face

Build Android iOS macOS Windows x64 Linux x64 Linux arm64 Web
bundle
1.89 GB
GPU ⚪ CPU ⚪ GPU ⚪ CPU ⚪ GPU ⚪ CPU 📝 GPU ⚪ CPU ⚪ GPU ⚪ CPU ⚪ GPU ⚪ CPU ⚪
  • Documented: PR #695 (2026-10-19).