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Reorganization of ToC
Signed-off-by: Mateusz Sokół <mat646@gmail.com>
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docs/README.md

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Although vLLM TPU’s new unified backend makes out-of-the-box high performance serving possible with any model supported in vLLM, the reality is that we're still in the process of implementing a few core components.
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For this reason, we’ve provided a **[Recommended Models and Features](recommended_models_features.md)** page detailing the models and features that are validated through unit, integration, and performance testing.
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For this reason, we’ve provided a **[Recommended Models and Features](basic_usage/recommended_models.md)** page detailing the models and features that are validated through unit, integration, and performance testing.
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## Getting Started
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If you are interested in contributing to the project or want to learn more about the internals, check out our developer guides:
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- **[JAX Model Development](developer_guides/jax_model_development.md)**
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- **[Torch Model Development](developer_guides/torchax_model_development.md)**
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- **[JAX Model Development](advanced_usage/jax_model_development.md)**
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- **[Torch Model Development](advanced_usage/torchax_model_development.md)**
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## Contribute
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docs/advanced_usage/gce_example.md

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# Run & server your custom model on GCE
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# A mental model how JAX-based vLLM model runs on TPU
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## Recommended Features
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This table shows the features currently tested for accuracy and performance.
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{{ read_csv('../support_matrices/feature_support_matrix.csv', keep_default_na=False) }}
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## Kernel Support
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This table shows the current kernel support status.
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{{ read_csv('../support_matrices/kernel_support_matrix.csv', keep_default_na=False) }}
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## Parallelism Support
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This table shows the current parallelism support status.
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{{ read_csv('../support_matrices/parallelism_support_matrix.csv', keep_default_na=False) }}
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## Quantization Support
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This table shows the current quantization support status.
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{{ read_csv('../support_matrices/quantization_support_matrix.csv', keep_default_na=False) }}
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# How is torchax used in vLLM
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docs/developer_guides/torchax_model_development.md renamed to docs/advanced_usage/torchax_model_development.md

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# How is torchax used in vLLM
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# E2E code example
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**Authors: Siyuan Liu, Hongmin Fan, Han Qi**
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docs/basic_usage/overview.md

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### Models
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{{ read_csv('../support_matrices/model_support_matrix.csv', keep_default_na=False) }}
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## Recommended Features
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This table shows the features currently tested for accuracy and performance.
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{{ read_csv('../support_matrices/feature_support_matrix.csv', keep_default_na=False) }}
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## Kernel Support
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This table shows the current kernel support status.
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{{ read_csv('../support_matrices/kernel_support_matrix.csv', keep_default_na=False) }}
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## Parallelism Support
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This table shows the current parallelism support status.
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{{ read_csv('../support_matrices/parallelism_support_matrix.csv', keep_default_na=False) }}
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## Quantization Support
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This table shows the current quantization support status.
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{{ read_csv('../support_matrices/quantization_support_matrix.csv', keep_default_na=False) }}

docs/contributors_guide.md

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# How to contribute
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## CoC
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