---
license: other
license_name: aplux-model-farm
license_link: https://huggingface.co/APLUX-Agora/laya/blob/main/LICENSE_MODEL_FARM.pdf
pipeline_tag: image-classification
tags: [Agora, QNN, AIoT, Qualcomm]
---

# laya model resources

输入英文文本和候选分类，运行 ModernBERT、分类头与校准决策头，返回类别及完整概率。

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/laya

| SoC · board | Precisions | Measured on Agora (default precision) |
| --- | --- | --- |
| QCS8550 · 犀牛派 X1 (Rhino Pi X1) | FP16 | 106.2 ms |

Task: 分类. Inputs: text (text). Outputs: label (label), out (json).

## Download

```bash
export AGORA_WORKSPACE="$HOME/my-laya"
export AGORA_SOC='QCS8550'
hf download APLUX-Agora/laya \
  --include "targets/$AGORA_SOC/*" --local-dir "$AGORA_WORKSPACE/resources"
```

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.

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.

## Licence and provenance

Source model licence: see the original model's terms. 
Converted, deployable resources: APLUX Model Farm License (LICENSE_MODEL_FARM.pdf). See NOTICE.md and SHA256SUMS.