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Agora board builds (Model Farm, verified on real boards)
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metadata
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 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

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.