I built mlx-onnx (as part of mlx-ruby), a standalone exporter that converts MLX graphs to ONNX.
Web Demo: https://skryl.github.io/mlx-ruby/demo
Repo: https://github.com/skryl/mlx-onnx
It provides:
- MLX callable -> ONNX export
- Python API + native C++ API
The goal is to make it easier to move MLX models into ONNX tooling (onnxruntime, validation, downstream deployment), while keeping
export behavior testable and explicit.
Quick example:
import mlx.core as mx
import mlx_onnx as mxonnx
def f(x):
return mx.exp(x + 1.0)
x = mx.array([[1.0, 2.0]], dtype=mx.float32)
mxonnx.export_onnx("model.onnx", f, x, model_name="demo", opset=18)
Performance is competitive with Python MLX. On small models, Ruby is within 0.55-1.54x of Python depending on model type and device. The heavy lifting happens in the same C++ / Metal runtime either way.
Ruby deserves better ML tooling. The language is expressive enough that model definitions can actually be more readable than their Python equivalents. gem install mlx to try it out.
One caveat is that this paper only covers training, which can be done on a single CS-3 using external memory (swapping weights in and out of SRAM). There is no way that a single CS-3 will hit this record inference performance with external memory so this was likely done with 10-20 CS-3 chips and the full model in SRAM. Definitely can’t compare token/$ with that kind of setup vs a DGX.
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Thanks for writing this. If anyone else is ever in a similar situation, please do your best to get out of the room. Even if you think your attacker might be hurt and is no longer restraining you, just get out. Get out and THEN call someone. Knock on doors, whatever... if you don't have your phone. Staying put and waiting for the attacker to leave is a BAD idea, even if you get a chance to use a phone.
It's like calling private methods on a class ;) Not easily accessible but once you figure out how to do it you can accomplish certain feats that may have seemed impossible beforehand. Alas, with great power comes great responsibility. Ever seen Limitless?
If you try it and hit an issue, I’d love a repro.