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oliver0804
/
WeVisOne-VL-2B-RK3588-rkllm

Image-Text-to-Text
RKLLM
Chinese
English
rk3588
rknn
npu
rockchip
edge-ai
quantized
w8a8
multimodal
Model card Files Files and versions
xet
Community

Instructions to use oliver0804/WeVisOne-VL-2B-RK3588-rkllm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • RKLLM

    How to use oliver0804/WeVisOne-VL-2B-RK3588-rkllm with RKLLM:

    # No code snippets available yet for this library.
    
    # To use this model, check the repository files and the library's documentation.
    
    # Want to help? PRs adding snippets are welcome at:
    # https://github.com/huggingface/huggingface.js
  • Notebooks
  • Google Colab
  • Kaggle
WeVisOne-VL-2B-RK3588-rkllm / conversion
26.8 kB
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  • 1 contributor
History: 1 commit
oliver0804's picture
oliver0804
RK3588 NPU conversion (w8a8 / hybrid RKNN) + benchmark model card
dce8269 verified 6 days ago
  • convert_wevis2.sh
    1.94 kB
    RK3588 NPU conversion (w8a8 / hybrid RKNN) + benchmark model card 6 days ago
  • export_vision.py
    18 kB
    RK3588 NPU conversion (w8a8 / hybrid RKNN) + benchmark model card 6 days ago
  • export_vision_rknn.py
    4.06 kB
    RK3588 NPU conversion (w8a8 / hybrid RKNN) + benchmark model card 6 days ago
  • pull_par.sh
    608 Bytes
    RK3588 NPU conversion (w8a8 / hybrid RKNN) + benchmark model card 6 days ago
  • run4b.sh
    2.19 kB
    RK3588 NPU conversion (w8a8 / hybrid RKNN) + benchmark model card 6 days ago