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mlx-examples/llava/requirements.txt

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Switch to fast RMS/LN Norm (#603) * use nn.RMSNorm, use sdpa, cleanup * bump mlx versions * minor update * use fast layer norm * version bump * update requirement for whisper * update requirement for gguf
2024-03-23 22:13:51 +08:00
mlx>=0.8.0
LlaVA in MLX (#461) * add: llava mlx first draft * add: weights comparision * add forward pass skeleton * update: now imports weights correctly * delete base * latest * adding config * fix: use config * add mlx config * feat: add image processor for llava processor * wip * feat: llava working example * chore: refactor generate script * chore: clean up * add: warning to user if no <image> token despite using one * add: __call__ to LlavaModel * add: call to LlavaModel * update fp * clean up var names * update: native GeLU * Cleanup * update generate and readme * remove todo comment * rearrange tests * fix example code * nits in README * update readme * nit in readme * nits in README * chore(llava): refactor image embedding merging logic * min mlx version * nits in readmes * fix cli prompt, some nits * updates, slight simplify --------- Co-authored-by: anchen <li.anchen.au@gmail.com> Co-authored-by: Awni Hannun <awni@apple.com>
2024-03-02 02:28:35 +08:00
numpy
transformers
torch
huggingface_hub
Pillow
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