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More UXR fixes
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docs/tutorials/posttraining/rl_on_multi_host.md

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@@ -93,7 +93,7 @@ You can install the required dependencies using either of the following two opti
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### Option 1: Installing stable releases of tunix and vllm-tpu
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Run the following bash script to create a docker image with all the dependencies of MaxText, Tunix, vLLM and tpu-inference installed.
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In addition to MaxText dependencies, primarily, it installs `vllm-tpu` which is [vllm](https://github.com/vllm-project/vllm) and [tpu-inference](https://github.com/vllm-project/tpu-inference) and thereby providing TPU inference for vLLM, with unified JAX and PyTorch support.
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In addition to MaxText dependencies, primarily, it installs `vllm-tpu` which is [vllm](https://github.com/vllm-project/vllm) and [tpu-inference](https://github.com/vllm-project/tpu-inference) and thereby providing TPU inference for vLLM, with unified JAX and PyTorch support. This build process takes approximately 10 to 15 minutes.
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```
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bash dependencies/scripts/docker_build_dependency_image.sh MODE=post-training

docs/tutorials/posttraining/sft_on_multi_host.md

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gcloud auth configure-docker
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docker run hello-world
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```
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Then run the following command to create a local Docker image named `maxtext_base_image`.
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Then run the following command to create a local Docker image named `maxtext_base_image`. This build process takes approximately 10 to 15 minutes.
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```bash
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bash dependencies/scripts/docker_build_dependency_image.sh MODE=post-training
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```

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