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base repository: ggml-org/llama.cpp
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base: master
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head repository: danbev/llama.cpp
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compare: vision-api-mllama-example
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  • 11 commits
  • 55 files changed
  • 2 contributors

Commits on Jan 14, 2025

  1. add llava to conversion

    ngxson authored and danbev committed Jan 14, 2025
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  2. model is loadable

    ngxson authored and danbev committed Jan 14, 2025
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  3. img pre processing

    ngxson authored and danbev committed Jan 14, 2025
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  4. llava cgraph ok

    ngxson authored and danbev committed Jan 14, 2025
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  5. fix build

    ngxson authored and danbev committed Jan 14, 2025
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  6. simple example works

    ngxson authored and danbev committed Jan 14, 2025
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  7. add more kv metadata

    ngxson authored and danbev committed Jan 14, 2025
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  8. use id for mmproj tensors

    ngxson authored and danbev committed Jan 14, 2025
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  9. wip

    ngxson authored and danbev committed Jan 14, 2025
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  10. llama : enable building vision with cmake

    This commit addresses a few compilation and linking errors that were
    occurring when building the vision module with cmake.
    danbev committed Jan 14, 2025
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  11. llama : add llama-simple-vision-mllama example (wip)

    This commit adds a vision example that uses Llama 3.2 Vision
    Instruct to experiment with the new Vision API and how a
    multi-modal cross-attention model works. The implementation is based
    on Ollama's multi-modal implementation with some modifications to
    make it work with the new Vision API.
    
    The motivation for this example is only to get some experience with
    multi-modal cross-attention and understand how it works. This is a bare
    minimum approach to get something working and see if it is something
    that is worth exploring further, but parts of this migth be useful on
    their own like the model conversion for example, and having this will
    enable the testing of the converted/quantized, model.
    danbev committed Jan 14, 2025
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