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benfred merged 1 commit into from
May 8, 2026
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update readme to reference latest changes #756

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7 changes: 4 additions & 3 deletions README.md
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Expand Up @@ -90,11 +90,12 @@ There are also several other articles about using Implicit to build recommendati

#### Requirements

This library requires SciPy version 0.16 or later and Python version 3.6 or later.
This library requires SciPy version 0.16 or later and Python version 3.9 or later.

GPU Support requires at least version 11 of the [NVidia CUDA Toolkit](https://developer.nvidia.com/cuda-downloads).
GPU Support requires version 13 of the [NVidia CUDA
Toolkit](https://developer.nvidia.com/cuda-downloads), and requires that RMM be installed `pip install rmm-cu13`

This library is tested with Python 3.7, 3.8, 3.9, 3.10 and 3.11 on Ubuntu, OSX and Windows.
This library is tested with Python 3.9 to 3.14 on Ubuntu, OSX and Windows.

#### Benchmarks

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8 changes: 4 additions & 4 deletions docs/source/installation.rst
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Expand Up @@ -8,16 +8,16 @@ Implicit can be installed from pypi with:
pip install implicit

Installing with pip will use prebuilt binary wheels on x86_64 Linux, Windows
and OSX. The wheels includes GPU support on Linux.
and OSX. The wheels includes GPU support on Linux, for CUDA 13.

There are also binary packages on conda-forge for Linux, Windows and OSX. These can be installed with:

.. code-block:: bash

conda install -c conda-forge implicit

There are also GPU enabled packages on conda-forge for x86_64 Linux systems using either CUDA
11.0, 11.1 or 11.2. The GPU packages can be installed with:
There are also GPU enabled packages on conda-forge for x86_64 Linux systems.
The GPU packages can be installed with:

.. code-block:: bash

Expand All @@ -27,4 +27,4 @@ There are also GPU enabled packages on conda-forge for x86_64 Linux systems usin
Requirements
------------

This library requires SciPy version 0.16 or later.
This library requires SciPy version 0.16 or later. GPU support requires RMM to be installed.
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