Agora board builds (Model Farm, verified on real boards)
Browse files- .gitattributes +1 -0
- LICENSE_MODEL_FARM.pdf +0 -0
- NOTICE.md +5 -0
- README.md +37 -0
- SHA256SUMS +3 -0
- targets/QCS8550/FP16/models/QCS8550/FP16/chn_jpn_yue_eng_ko_spectok.bpe.model +3 -0
- targets/QCS8550/FP16/models/QCS8550/FP16/config.json +3 -0
- targets/QCS8550/FP16/models/QCS8550/FP16/model_htp.bin.aidem +3 -0
- targets/QCS8550/model.json +7 -0
.gitattributes
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targets/QCS8550/FP16/models/QCS8550/FP16/model_htp.bin.aidem filter=lfs diff=lfs merge=lfs -text
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LICENSE_MODEL_FARM.pdf
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Binary file (71.1 kB). View file
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NOTICE.md
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# Provenance
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Resources are copied without binary changes from the APLUX Model Farm build `SenseVoiceSmall` that Agora verified on real boards (decoded sample check, then measured), pinned by sha256 in SHA256SUMS.
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Agora arranges files under targets/<SoC>/<precision>/ and adds model.json. AidLite, AidGen, AidVoice and the Qualcomm QNN runtime are separate dependencies with their own terms.
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README.md
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---
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license: other
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license_name: aplux-model-farm
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license_link: https://huggingface.co/APLUX-Agora/SenseVoiceSmall/blob/main/LICENSE_MODEL_FARM.pdf
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pipeline_tag: automatic-speech-recognition
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tags: [Agora, QNN, AIoT, Qualcomm]
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---
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# SenseVoiceSmall model resources
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SenseVoiceSmall,来自 Model Farm,适配状态按板卡列出。
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Board builds that [Agora](https://mega.aidlux.com) runs and measures on real Qualcomm boards. Try it online, without a board: https://mega.aidlux.com/models/sensevoicesmall
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| SoC · board | Precisions | Measured on Agora (default precision) |
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| --- | --- | --- |
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| QCS8550 · 犀牛派 X1 (Rhino Pi X1) | FP16 | RTF 0.055 |
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Task: 语音识别. Inputs: audio (audio). Outputs: text (text).
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## Download
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```bash
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export AGORA_WORKSPACE="$HOME/my-sensevoicesmall"
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export AGORA_SOC='QCS8550'
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hf download APLUX-Agora/SenseVoiceSmall \
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--include "targets/$AGORA_SOC/*" --local-dir "$AGORA_WORKSPACE/resources"
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```
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Each `targets/<SoC>/` holds `model.json` (default precision and variant paths) and one directory per precision. Context binaries are named `model.bin`; multi-file packages are kept as published by Model Farm.
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Pre- and post-processing, the runner and an exported project: open the model on Agora and choose “部署指南”, or export any workflow that uses it.
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## Licence and provenance
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Source model licence: see the original model's terms.
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Converted, deployable resources: APLUX Model Farm License (LICENSE_MODEL_FARM.pdf). See NOTICE.md and SHA256SUMS.
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SHA256SUMS
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aa87f86064c3730d799ddf7af3c04659151102cba548bce325cf06ba4da4e6a8 targets/QCS8550/FP16/models/QCS8550/FP16/chn_jpn_yue_eng_ko_spectok.bpe.model
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d352a321bc2ba2cd7bd2a1078d372a0565e6625384f224cb77c3d10268d0be03 targets/QCS8550/FP16/models/QCS8550/FP16/config.json
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39e564aa24c573ea23bc76a622d71a9be878a37966dfadc073d7d740bc49604d targets/QCS8550/FP16/models/QCS8550/FP16/model_htp.bin.aidem
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targets/QCS8550/FP16/models/QCS8550/FP16/chn_jpn_yue_eng_ko_spectok.bpe.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:aa87f86064c3730d799ddf7af3c04659151102cba548bce325cf06ba4da4e6a8
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size 377341
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targets/QCS8550/FP16/models/QCS8550/FP16/config.json
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{
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"type": "TYPE_SENSEVOICE"
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}
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targets/QCS8550/FP16/models/QCS8550/FP16/model_htp.bin.aidem
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version https://git-lfs.github.com/spec/v1
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oid sha256:39e564aa24c573ea23bc76a622d71a9be878a37966dfadc073d7d740bc49604d
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size 505133080
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targets/QCS8550/model.json
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{
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"soc": "QCS8550",
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"default_precision": "FP16",
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"variants": {
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"FP16": "FP16/"
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}
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}
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