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();
| Mark | Meaning |
|---|---|
| ✅ verified | Passed on that host and backend with the native build the packages ship now |
| 🕓 stale | Passed there on an earlier native build; not run since it changed |
| 📝 documented | Documented as working; not yet re-run with a recorded log |
| ⚪ untested | The package runs it there; nobody has recorded a run |
| ⛔ refused | This version of the package does not run it there |
| ⏸️ withheld | Left out of the catalog; the note says why |
| ❌ broken | Known 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 ⚪ |
- Documented: the Models page (at 0c626b2).
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 ⚪ |
- Documented: the Models page (at 0c626b2).
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 ⚪ |
- Documented: the Models page (at 0c626b2).
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 ⚪ |
- Documented: the Models page (at 0c626b2).
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 📝 |
- Documented: the Models page (at 0c626b2).
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 📝 |
- Documented: the Models page (at 0c626b2).
- Documented: the Models page (at 0c626b2).
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 ⚪ |
- Documented: the Models page (at 0c626b2).
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 ⚪ |
- Documented: the Models page (at 0c626b2).
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 ⚪ |
- Documented: the Models page (at 0c626b2).
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 ⚪ |
- Documented: the Models page (at 0c626b2).
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 ⚪ |
- Documented: the Models page (at 0c626b2).
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 ⚪ |
- Documented: the Models page (at 0c626b2).
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 ⚪ |
- Documented: the Models page (at 0c626b2).
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 ⚪ |
- Documented: the Models page (at 0c626b2).
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 ⚪ |
- Documented: the Models page (at 0c626b2).
- Documented: the Models page (at 0c626b2).
- Documented: the Embeddings & RAG page (at da9a3cb).
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 ⛔ |
- Documented: the Models page (at 0c626b2).
Gecko 110M (English)#
gecko-110m-en · apache-2.0 · Hugging Face
| Build | Android | iOS | macOS | Windows x64 | Linux x64 | Linux arm64 | Web |
|---|---|---|---|---|---|---|---|
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seq64-quant
112 MB |
GPU ⛔ CPU 📝 | GPU ⛔ CPU 📝 | GPU ⛔ CPU 📝 | GPU ⛔ CPU 📝 | GPU ⛔ CPU 📝 | GPU ⛔ CPU ⚪ | GPU ⚪ CPU ⚪ |
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seq256-quant
114 MB |
GPU ⛔ CPU 📝 | GPU ⛔ CPU 📝 | GPU ⛔ CPU 📝 | GPU ⛔ CPU 📝 | GPU ⛔ CPU 📝 | GPU ⛔ CPU ⚪ | GPU ⚪ CPU ⚪ |
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seq512-quant
120 MB |
GPU ⛔ CPU 📝 | GPU ⛔ CPU 📝 | GPU ⛔ CPU 📝 | GPU ⛔ CPU 📝 | GPU ⛔ CPU 📝 | GPU ⛔ CPU ⚪ | GPU ⚪ CPU ⚪ |
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seq1024-quant
146 MB |
GPU ⛔ CPU ⚪ | GPU ⛔ CPU ⚪ | GPU ⛔ CPU ⚪ | GPU ⛔ CPU ⚪ | GPU ⛔ CPU ⚪ | GPU ⛔ CPU ⚪ | GPU ⚪ CPU ⚪ |
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seq64-f32
441 MB |
GPU ⛔ CPU ⚪ | GPU ⛔ CPU ⚪ | GPU ⛔ CPU ⚪ | GPU ⛔ CPU ⚪ | GPU ⛔ CPU ⚪ | GPU ⛔ CPU ⚪ | GPU ⚪ CPU ⚪ |
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seq256-f32
443 MB |
GPU ⛔ CPU ⚪ | GPU ⛔ CPU ⚪ | GPU ⛔ CPU ⚪ | GPU ⛔ CPU ⚪ | GPU ⛔ CPU ⚪ | GPU ⛔ CPU ⚪ | GPU ⚪ CPU ⚪ |
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seq512-f32
449 MB |
GPU ⛔ CPU ⚪ | GPU ⛔ CPU ⚪ | GPU ⛔ CPU ⚪ | GPU ⛔ CPU ⚪ | GPU ⛔ CPU ⚪ | GPU ⛔ CPU ⚪ | GPU ⚪ CPU ⚪ |
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seq1024-f32
475 MB |
GPU ⛔ CPU ⚪ | GPU ⛔ CPU ⚪ | GPU ⛔ CPU ⚪ | GPU ⛔ CPU ⚪ | GPU ⛔ CPU ⚪ | GPU ⛔ CPU ⚪ | GPU ⚪ CPU ⚪ |
- Documented: the Models page (at 0c626b2).
Speech to text#
Moonshine Tiny#
moonshine-tiny · mit · Hugging Face
| Build | Android | iOS | macOS | Windows x64 | Linux x64 | Linux arm64 | Web |
|---|---|---|---|---|---|---|---|
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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 ⚪ | |
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f32-npu-mt6877
102 MB |
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f32-npu-mt6878
98 MB |
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f32-npu-mt6879
102 MB |
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f32-npu-mt6897
98 MB |
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f32-npu-mt6983
98 MB |
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f32-npu-mt6985
98 MB |
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f32-npu-mt6989
97 MB |
NPU ⛔ | ||||||
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f32-npu-mt6991
98 MB |
NPU ⛔ | ||||||
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f32-npu-mt6993
95 MB |
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f32-npu-mt8171
98 MB |
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f32-npu-mt8188
98 MB |
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f32-npu-mt8189
98 MB |
NPU ⛔ | ||||||
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f32-npu-sa8255
77 MB |
NPU ⛔ | NPU ⛔ | |||||
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f32-npu-sa8295
77 MB |
NPU ⛔ | NPU ⛔ | |||||
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f32-npu-sm8450
77 MB |
NPU ⛔ | NPU ⛔ | |||||
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f32-npu-sm8550
77 MB |
NPU ⛔ | NPU ⛔ | |||||
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f32-npu-sm8650
77 MB |
NPU ⛔ | NPU ⛔ | |||||
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f32-npu-sm8750
77 MB |
NPU ⛔ | NPU ⛔ | |||||
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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 ⚪ | |
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f32-npu-mt6877
1.20 GB |
NPU ⛔ | ||||||
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f32-npu-mt6878
1.18 GB |
NPU ⛔ | ||||||
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f32-npu-mt6879
1.20 GB |
NPU ⛔ | ||||||
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f32-npu-mt6897
1.18 GB |
NPU ⛔ | ||||||
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f32-npu-mt6983
1.18 GB |
NPU ⛔ | ||||||
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f32-npu-mt6985
1.18 GB |
NPU ⛔ | ||||||
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f32-npu-mt6989
1.18 GB |
NPU ⛔ | ||||||
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f32-npu-mt6991
1.18 GB |
NPU ⛔ | ||||||
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f32-npu-mt6993
1.18 GB |
NPU ⛔ | ||||||
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f32-npu-mt8171
1.18 GB |
NPU ⛔ | ||||||
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f32-npu-mt8188
1.18 GB |
NPU ⛔ | ||||||
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f32-npu-mt8189
1.18 GB |
NPU ⛔ | ||||||
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f32-npu-sa8255
1.21 GB |
NPU ⛔ | NPU ⛔ | |||||
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f32-npu-sa8295
1.20 GB |
NPU ⛔ | NPU ⛔ | |||||
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f32-npu-sm8450
1.20 GB |
NPU ⛔ | NPU ⛔ | |||||
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f32-npu-sm8550
1.21 GB |
NPU ⛔ | NPU ⛔ | |||||
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f32-npu-sm8650
1.21 GB |
NPU ⛔ | NPU ⛔ | |||||
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f32-npu-sm8750
1.21 GB |
NPU ⛔ | NPU ⛔ | |||||
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f32-npu-sm8850
1.21 GB |
NPU ⛔ | NPU ⛔ | |||||
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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 ⚪ |
- Documented: the Models page (at 0c626b2).
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 ⚪ | |
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f32-npu-mt6877
158 MB |
NPU ⛔ | ||||||
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f32-npu-mt6878
156 MB |
NPU ⛔ | ||||||
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f32-npu-mt6879
158 MB |
NPU ⛔ | ||||||
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f32-npu-mt6897
156 MB |
NPU ⛔ | ||||||
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f32-npu-mt6983
156 MB |
NPU ⛔ | ||||||
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f32-npu-mt6985
156 MB |
NPU ⛔ | ||||||
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f32-npu-mt6989
156 MB |
NPU ⛔ | ||||||
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f32-npu-mt6991
156 MB |
NPU ⛔ | ||||||
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f32-npu-mt6993
156 MB |
NPU ⛔ | ||||||
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f32-npu-mt8171
156 MB |
NPU ⛔ | ||||||
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f32-npu-mt8188
156 MB |
NPU ⛔ | ||||||
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f32-npu-mt8189
156 MB |
NPU ⛔ | ||||||
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f32-npu-sa8255
120 MB |
NPU ⛔ | NPU ⛔ | |||||
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f32-npu-sa8295
119 MB |
NPU ⛔ | NPU ⛔ | |||||
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f32-npu-sm8450
119 MB |
NPU ⛔ | NPU ⛔ | |||||
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f32-npu-sm8550
120 MB |
NPU ⛔ | NPU ⛔ | |||||
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f32-npu-sm8650
120 MB |
NPU ⛔ | NPU ⛔ | |||||
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f32-npu-sm8750
120 MB |
NPU ⛔ | NPU ⛔ | |||||
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f32-npu-sm8850
120 MB |
NPU ⛔ | NPU ⛔ |
- Documented: the Models page (at 0c626b2).
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 ⚪ |
- Documented: the Models page (at 0c626b2).
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).
