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---
license: other
license_name: mixed-per-file
license_link: https://huggingface.co/TalkBar/voice-models#per-file-licenses
tags:
  - speech-recognition
  - asr
  - onnx
  - ggml
---

# TalkBar voice models — 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](https://huggingface.co/nvidia/parakeet-tdt-0.6b-v3) (int8 ONNX export bundle) | [CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/) |
| `ggml-small.bin` | [OpenAI Whisper](https://github.com/openai/whisper) small, GGML conversion | [MIT](https://github.com/openai/whisper/blob/main/LICENSE) |
| `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](https://github.com/salute-developers/GigaAM) v3, int8 ONNX export | [MIT](https://github.com/salute-developers/GigaAM/blob/main/LICENSE) |
| `canary-180m-flash.tar.gz` | [nvidia/canary-180m-flash](https://huggingface.co/nvidia/canary-180m-flash) (ONNX bundle) | [CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/) |
| `canary-1b-v2.tar.gz` | [nvidia/canary-1b-v2](https://huggingface.co/nvidia/canary-1b-v2) (ONNX bundle) | [CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/) |
| `silero_vad.onnx` | [snakers4/silero-vad](https://github.com/snakers4/silero-vad) | [MIT](https://github.com/snakers4/silero-vad/blob/master/LICENSE) |
| `voxceleb_resnet34_LM.onnx` | [WeSpeaker](https://github.com/wenet-e2e/wespeaker) voxceleb ResNet34-LM | [Apache-2.0](https://github.com/wenet-e2e/wespeaker/blob/master/LICENSE) |
| `diar_streaming_sortformer_4spk-v2.1.onnx` | [nvidia/diar_streaming_sortformer_4spk-v2.1](https://huggingface.co/nvidia/diar_streaming_sortformer_4spk-v2.1) (ONNX export, no weight changes) | [NVIDIA Open Model License](https://www.nvidia.com/en-us/agreements/enterprise-software/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` |