---
license: other
license_name: aplux-model-farm
license_link: https://huggingface.co/APLUX-Agora/InternVL3-2B-Instruct/blob/main/LICENSE_MODEL_FARM.pdf
pipeline_tag: image-text-to-text
tags: [Agora, QNN, AIoT, Qualcomm]
---

# InternVL3-2B-Instruct model resources

InternVL3-2B-Instruct，来自 Model Farm 官方预览目录，逐板卡验证后开放运行。

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/internvl3-2b-instruct

| SoC · board | Precisions | Measured on Agora (default precision) |
| --- | --- | --- |
| QCS8550 · 犀牛派 X1 (Rhino Pi X1) | W4A16 | 36.1 tokens/s |

Task: 视觉语言模型. Inputs: image (image), text (text). Outputs: text (text).

## Download

```bash
export AGORA_WORKSPACE="$HOME/my-internvl3-2b-instruct"
export AGORA_SOC='QCS8550'
hf download APLUX-Agora/InternVL3-2B-Instruct \
  --include "targets/$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.