Merge pull request #2577 from AI-Hypercomputer:bvandermoon-maxtext-installation

PiperOrigin-RevId: 827557228

Author: Google-ML-Automation

README.md

@@ -36,7 +36,7 @@ See our installation guide to [install MaxText with pip](https://maxtext.readthe
 
 * \[September 26, 2025\] Vocabulary tiling ([PR](https://github.com/AI-Hypercomputer/maxtext/pull/2242)) is now supported in MaxText! Adjust config `num_vocab_tiling` to unlock more efficient memory usage.
 * \[September 24, 2025\] The GPT-OSS family of models (20B, 120B) is now supported.
-* \[September 15, 2025\] MaxText is now available as a [PyPI package](https://pypi.org/project/maxtext). Users can now [install maxtext through pip](https://github.com/AI-Hypercomputer/maxtext?tab=readme-ov-file#from-pypi-recommended).
+* \[September 15, 2025\] MaxText is now available as a [PyPI package](https://pypi.org/project/maxtext). Users can now [install maxtext through pip](https://maxtext.readthedocs.io/en/latest/guides/install_maxtext.html).
 * \[September 5, 2025\] MaxText has moved to an `src` layout as part of [RESTRUCTURE.md](RESTRUCTURE.md). For existing environments, please run `pip install -e .` from MaxText root.
 * \[August 13, 2025\] The Qwen3 2507 MoE family of models is now supported: MoEs: 235B Thinking & 280B Coder as well as existing dense models: 0.6B, 4B, 8B, 14B, and 32B.  
 * \[July 27, 2025\] Updated TFLOPS/s calculation ([PR](https://github.com/AI-Hypercomputer/maxtext/pull/1988)) to account for causal attention, dividing the attention flops in half. Accounted for sliding window and chunked attention reduced attention flops in [PR](https://github.com/AI-Hypercomputer/maxtext/pull/2009) and [PR](https://github.com/AI-Hypercomputer/maxtext/pull/2030). Changes impact large sequence configs, as explained in this [doc](https://github.com/AI-Hypercomputer/maxtext/blob/main/docs/guides/performance_metrics.md)