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fix links (#32)

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Awni Hannun 2023-12-06 08:12:06 -08:00 committed by GitHub
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6
docs/src/examples/llama-inference.rst
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@ -321,7 +321,7 @@ which can then be used to update the model. Note that the method above incurs
several unnecessary copies from disk to numpy and then from numpy to MLX. It
will be replaced in the future with direct loading to MLX.
You can download the full example code in `mlx-examples <code>`_. Assuming, the
You can download the full example code in `mlx-examples`_. Assuming, the
existence of ``weights.pth`` and ``tokenizer.model`` in the current working
directory we can play around with our inference script as follows (the timings
are representative of an M1 Ultra and the 7B parameter Llama model):
@ -369,9 +369,9 @@ Scripts
.. admonition:: Download the code
The full example code is available in `mlx-examples <code>`_.
The full example code is available in `mlx-examples`_.
.. code: `https://github.com/ml-explore/mlx-examples/tree/main/llama`_
.. _mlx-examples: https://github.com/ml-explore/mlx-examples/tree/main/llama
.. [1] Su, J., Lu, Y., Pan, S., Murtadha, A., Wen, B. and Liu, Y., 2021.
Roformer: Enhanced transformer with rotary position embedding. arXiv

2
docs/src/examples/mlp.rst
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@ -127,5 +127,5 @@ Finally, we put it all together by instantiating the model, the
This should not be confused with :func:`mlx.core.value_and_grad`.
The model should train to a decent accuracy (about 95%) after just a few passes
over the training set. The `full example <https://github.com/ml-explore/mlx-examples/tree/main/mlp>`_
over the training set. The `full example <https://github.com/ml-explore/mlx-examples/tree/main/mnist>`_
is available in the MLX GitHub repo.