TalkBar voice models โ ASR download host
First-party download host for the TalkBar desktop app's speech-recognition weights. Every file is a byte-exact repackage of a permissively licensed upstream model (packaging: tar.gz bundles matching the app's install layout, or the upstream file as-is). The app downloads at a pinned commit and verifies SHA-256.
Per-file licenses
| File | Upstream model | Upstream license |
|---|---|---|
parakeet-v3-int8.tar.gz |
nvidia/parakeet-tdt-0.6b-v3 (int8 ONNX export bundle) | CC-BY-4.0 |
ggml-small.bin |
OpenAI Whisper small, GGML conversion | MIT |
whisper-medium-q4_1.bin |
OpenAI Whisper medium, GGML q4_1 quantization | MIT |
ggml-large-v3-turbo.bin |
OpenAI Whisper large-v3-turbo, GGML conversion | MIT |
ggml-large-v3-q5_0.bin |
OpenAI Whisper large-v3, GGML q5_0 quantization | MIT |
giga-am-v3.int8.onnx |
salute-developers/GigaAM v3, int8 ONNX export | MIT |
canary-180m-flash.tar.gz |
nvidia/canary-180m-flash (ONNX bundle) | CC-BY-4.0 |
canary-1b-v2.tar.gz |
nvidia/canary-1b-v2 (ONNX bundle) | CC-BY-4.0 |
silero_vad.onnx |
snakers4/silero-vad | MIT |
voxceleb_resnet34_LM.onnx |
WeSpeaker voxceleb ResNet34-LM | Apache-2.0 |
diar_streaming_sortformer_4spk-v2.1.onnx |
nvidia/diar_streaming_sortformer_4spk-v2.1 (ONNX export, no weight changes) | NVIDIA Open Model License |
Attribution: NVIDIA (Parakeet, Canary), OpenAI (Whisper), SberDevices / salute-developers (GigaAM). No weight modifications beyond quantization / format conversion / archive packaging; all redistribution under the upstream licenses above with attribution.
Integrity
| File | Bytes | SHA-256 |
|---|---|---|
parakeet-v3-int8.tar.gz |
478,517,071 | 43d37191602727524a7d8c6da0eef11c4ba24320f5b4730f1a2497befc2efa77 |
ggml-small.bin |
487,601,967 | 1be3a9b2063867b937e64e2ec7483364a79917e157fa98c5d94b5c1fffea987b |
whisper-medium-q4_1.bin |
491,852,915 | 79283fc1f9fe12ca3248543fbd54b73292164d8df5a16e095e2bceeaaabddf57 |
ggml-large-v3-turbo.bin |
1,624,555,275 | 1fc70f774d38eb169993ac391eea357ef47c88757ef72ee5943879b7e8e2bc69 |
ggml-large-v3-q5_0.bin |
1,081,140,203 | d75795ecff3f83b5faa89d1900604ad8c780abd5739fae406de19f23ecd98ad1 |
giga-am-v3.int8.onnx |
224,893,347 | 2e3fcb7a7b66030336fd10c2fcfb033bd1dc7e1bf238fe5cfd83b1d0cfc9d28e |
canary-180m-flash.tar.gz |
153,194,652 | 6d9cfca6118b296e196eaedc1c8fa9788305a7b0f1feafdb6dc91932ab6e53f7 |
canary-1b-v2.tar.gz |
725,374,161 | 02305b2a25f9cf3e7deaffa7f94df00efa44f442cd55c101c2cb9c000f904666 |
silero_vad.onnx |
1,807,522 | a35ebf52fd3ce5f1469b2a36158dba761bc47b973ea3382b3186ca15b1f5af28 |
voxceleb_resnet34_LM.onnx |
26,530,309 | 7bb2f06e9df17cdf1ef14ee8a15ab08ed28e8d0ef5054ee135741560df2ec068 |
diar_streaming_sortformer_4spk-v2.1.onnx |
492,243,003 | f010a62654fd6d2adb70166265df2e53f5a766e354d2cce152b4c7966a04d02d |
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