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Add new training recipes for v5p #93

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2 changes: 1 addition & 1 deletion microbenchmarks/trillium/collectives/README.md
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# Instructions for running Collectives Benchmark on TPU trillium (v6e-256)

## XPK setup
Please follow this [link](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/trillium/XPK_README.md) to create your GKE cluster with XPK
Please follow this [link](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/XPK_README.md) to create your GKE cluster with XPK

## Run Collectives on v6e-256

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4 changes: 2 additions & 2 deletions training/trillium/GPT3-175B-MaxText/bf16/README.md
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# Instructions for training GPT3-175B-Maxtext on TPU trillium

## XPK setup
Please follow the [XPK_README](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/trillium/XPK_README.md) to create your GKE cluster with XPK
Please follow the [XPK_README](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/XPK_README.md) to create your GKE cluster with XPK

## Prep for Maxtext

### Install MaxText and Build Docker Image
Please follow the [MAXTEXT_README](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/trillium/MAXTEXT_README.md) to install maxtext and build the docker image. The following variables should be set:
Please follow the [MAXTEXT_README](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/MAXTEXT_README.md) to install maxtext and build the docker image. The following variables should be set:

In step 1, use the MaxText [tpu-recipes-v0.1.2](https://github.com/AI-Hypercomputer/maxtext/releases/tag/tpu-recipes-v0.1.2) tag to run this recipe:
```
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4 changes: 2 additions & 2 deletions training/trillium/GPT3-175B-MaxText/fp8/README.md
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# Instructions for training GPT3-175B-Maxtext on TPU trillium

## XPK setup
Please follow this [link](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/trillium/XPK_README.md) to create your GKE cluster with XPK
Please follow this [link](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/XPK_README.md) to create your GKE cluster with XPK

## Prep for Maxtext
Please follow this [link](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/trillium/MAXTEXT_README.md) to install maxtext and build docker image
Please follow this [link](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/MAXTEXT_README.md) to install maxtext and build docker image

## Run Maxtext GPT3-175B workloads on GKE

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4 changes: 2 additions & 2 deletions training/trillium/Llama2-70B-MaxText/README.md
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# Instructions for training Llama2-70B-Maxtext on TPU trillium

## XPK setup
Please follow the [XPK_README](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/trillium/XPK_README.md) to create your GKE cluster with XPK
Please follow the [XPK_README](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/XPK_README.md) to create your GKE cluster with XPK

## Prep for Maxtext

### Install MaxText and Build Docker Image
Please follow the [MAXTEXT_README](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/trillium/MAXTEXT_README.md) to install maxtext and build the docker image. The following variables should be set:
Please follow the [MAXTEXT_README](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/MAXTEXT_README.md) to install maxtext and build the docker image. The following variables should be set:

In step 1, use the MaxText [tpu-recipes-v0.1.2](https://github.com/AI-Hypercomputer/maxtext/releases/tag/tpu-recipes-v0.1.2) tag to run this recipe:
```
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4 changes: 2 additions & 2 deletions training/trillium/Llama3.1-405B-MaxText/README.md
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# Instructions for training Llama3.1-405B-MaxText on TPU trillium

## XPK setup
Please follow the [XPK_README](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/trillium/XPK_README.md) to create your GKE cluster with XPK
Please follow the [XPK_README](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/XPK_README.md) to create your GKE cluster with XPK

## Prep for Maxtext

### Install MaxText and Build Docker Image
Please follow the [MAXTEXT_README](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/trillium/MAXTEXT_README.md) to install maxtext and build the docker image. The following variables should be set:
Please follow the [MAXTEXT_README](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/MAXTEXT_README.md) to install maxtext and build the docker image. The following variables should be set:

In step 1, use the MaxText [tpu-recipes-v0.1.2](https://github.com/AI-Hypercomputer/maxtext/releases/tag/tpu-recipes-v0.1.2) tag to run this recipe:
```
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4 changes: 2 additions & 2 deletions training/trillium/Llama3.1-70B-MaxText/v6e-128/README.md
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# Instructions for training Llama3.1-70B-MaxText on TPU trillium (v6e-128)

## XPK setup
Please follow the [XPK_README](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/trillium/XPK_README.md) to create your GKE cluster with XPK
Please follow the [XPK_README](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/XPK_README.md) to create your GKE cluster with XPK

## Prep for Maxtext

### Install MaxText and Build Docker Image
Please follow the [MAXTEXT_README](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/trillium/MAXTEXT_README.md) to install maxtext and build the docker image. The following variables should be set:
Please follow the [MAXTEXT_README](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/MAXTEXT_README.md) to install maxtext and build the docker image. The following variables should be set:

In step 1, use the MaxText [tpu-recipes-v0.1.4](https://github.com/AI-Hypercomputer/maxtext/releases/tag/tpu-recipes-v0.1.4) tag to run this recipe:
```
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4 changes: 2 additions & 2 deletions training/trillium/Llama3.1-70B-MaxText/v6e-256/README.md
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# Instructions for training Llama3.1-70B-MaxText on TPU trillium (v6e-256)

## XPK setup
Please follow the [XPK_README](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/trillium/XPK_README.md) to create your GKE cluster with XPK
Please follow the [XPK_README](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/XPK_README.md) to create your GKE cluster with XPK

## Prep for Maxtext

### Install MaxText and Build Docker Image
Please follow the [MAXTEXT_README](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/trillium/MAXTEXT_README.md) to install maxtext and build the docker image. The following variables should be set:
Please follow the [MAXTEXT_README](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/MAXTEXT_README.md) to install maxtext and build the docker image. The following variables should be set:

In step 1, use the MaxText [tpu-recipes-v0.1.4](https://github.com/AI-Hypercomputer/maxtext/releases/tag/tpu-recipes-v0.1.4) tag to run this recipe:
```
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4 changes: 2 additions & 2 deletions training/trillium/Llama3.1-70B-MaxText/v6e-32/README.md
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# Instructions for training Llama3.1-70B-MaxText on TPU trillium (v6e-32)

## XPK setup
Please follow the [XPK_README](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/trillium/XPK_README.md) to create your GKE cluster with XPK
Please follow the [XPK_README](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/XPK_README.md) to create your GKE cluster with XPK

## Prep for Maxtext

### Install MaxText and Build Docker Image
Please follow the [MAXTEXT_README](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/trillium/MAXTEXT_README.md) to install maxtext and build the docker image. The following variables should be set:
Please follow the [MAXTEXT_README](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/MAXTEXT_README.md) to install maxtext and build the docker image. The following variables should be set:

In step 1, use the MaxText [tpu-recipes-v0.1.4](https://github.com/AI-Hypercomputer/maxtext/releases/tag/tpu-recipes-v0.1.4) tag to run this recipe:
```
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4 changes: 2 additions & 2 deletions training/trillium/Llama3.1-70B-MaxText/v6e-64/README.md
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# Instructions for training Llama3.1-70B-MaxText on TPU trillium (v6e-64)

## XPK setup
Please follow the [XPK_README](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/trillium/XPK_README.md) to create your GKE cluster with XPK
Please follow the [XPK_README](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/XPK_README.md) to create your GKE cluster with XPK

## Prep for Maxtext

### Install MaxText and Build Docker Image
Please follow the [MAXTEXT_README](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/trillium/MAXTEXT_README.md) to install maxtext and build the docker image. The following variables should be set:
Please follow the [MAXTEXT_README](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/MAXTEXT_README.md) to install maxtext and build the docker image. The following variables should be set:

In step 1, use the MaxText [tpu-recipes-v0.1.4](https://github.com/AI-Hypercomputer/maxtext/releases/tag/tpu-recipes-v0.1.4) tag to run this recipe:
```
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4 changes: 2 additions & 2 deletions training/trillium/Llama3.1-8B-MaxText/v6e-128/README.md
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# Instructions for training Llama3.1-8B-MaxText on TPU trillium (v6e-128)

## XPK setup
Please follow the [XPK_README](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/trillium/XPK_README.md) to create your GKE cluster with XPK
Please follow the [XPK_README](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/XPK_README.md) to create your GKE cluster with XPK

## Prep for Maxtext

### Install MaxText and Build Docker Image
Please follow the [MAXTEXT_README](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/trillium/MAXTEXT_README.md) to install maxtext and build the docker image. The following variables should be set:
Please follow the [MAXTEXT_README](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/MAXTEXT_README.md) to install maxtext and build the docker image. The following variables should be set:

In step 1, use the MaxText [tpu-recipes-v0.1.4](https://github.com/AI-Hypercomputer/maxtext/releases/tag/tpu-recipes-v0.1.4) tag to run this recipe:
```
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4 changes: 2 additions & 2 deletions training/trillium/Llama3.1-8B-MaxText/v6e-16/README.md
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# Instructions for training Llama3.1-8B-MaxText on TPU trillium (v6e-16)

## XPK setup
Please follow the [XPK_README](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/trillium/XPK_README.md) to create your GKE cluster with XPK
Please follow the [XPK_README](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/XPK_README.md) to create your GKE cluster with XPK

## Prep for Maxtext

### Install MaxText and Build Docker Image
Please follow the [MAXTEXT_README](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/trillium/MAXTEXT_README.md) to install maxtext and build the docker image. The following variables should be set:
Please follow the [MAXTEXT_README](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/MAXTEXT_README.md) to install maxtext and build the docker image. The following variables should be set:

In step 1, use the MaxText [tpu-recipes-v0.1.4](https://github.com/AI-Hypercomputer/maxtext/releases/tag/tpu-recipes-v0.1.4) tag to run this recipe:
```
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4 changes: 2 additions & 2 deletions training/trillium/Llama3.1-8B-MaxText/v6e-256/README.md
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# Instructions for training Llama3.1-8B-MaxText on TPU trillium (v6e-256)

## XPK setup
Please follow the [XPK_README](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/trillium/XPK_README.md) to create your GKE cluster with XPK
Please follow the [XPK_README](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/XPK_README.md) to create your GKE cluster with XPK

## Prep for Maxtext

### Install MaxText and Build Docker Image
Please follow the [MAXTEXT_README](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/trillium/MAXTEXT_README.md) to install maxtext and build the docker image. The following variables should be set:
Please follow the [MAXTEXT_README](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/MAXTEXT_README.md) to install maxtext and build the docker image. The following variables should be set:

In step 1, use the MaxText [tpu-recipes-v0.1.4](https://github.com/AI-Hypercomputer/maxtext/releases/tag/tpu-recipes-v0.1.4) tag to run this recipe:
```
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# Instructions for training Llama3.1-8B-MaxText on TPU trillium (v6e-32)

## XPK setup
Please follow the [XPK_README](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/trillium/XPK_README.md) to create your GKE cluster with XPK
Please follow the [XPK_README](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/XPK_README.md) to create your GKE cluster with XPK

## Prep for Maxtext

### Install MaxText and Build Docker Image
Please follow the [MAXTEXT_README](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/trillium/MAXTEXT_README.md) to install maxtext and build the docker image. The following variables should be set:
Please follow the [MAXTEXT_README](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/MAXTEXT_README.md) to install maxtext and build the docker image. The following variables should be set:

In step 1, use the MaxText [tpu-recipes-v0.1.4](https://github.com/AI-Hypercomputer/maxtext/releases/tag/tpu-recipes-v0.1.4) tag to run this recipe:
```
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4 changes: 2 additions & 2 deletions training/trillium/Llama3.1-8B-MaxText/v6e-64/README.md
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# Instructions for training Llama3.1-8B-MaxText on TPU trillium (v6e-64)

## XPK setup
Please follow the [XPK_README](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/trillium/XPK_README.md) to create your GKE cluster with XPK
Please follow the [XPK_README](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/XPK_README.md) to create your GKE cluster with XPK

## Prep for Maxtext

### Install MaxText and Build Docker Image
Please follow the [MAXTEXT_README](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/trillium/MAXTEXT_README.md) to install maxtext and build the docker image. The following variables should be set:
Please follow the [MAXTEXT_README](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/MAXTEXT_README.md) to install maxtext and build the docker image. The following variables should be set:

In step 1, use the MaxText [tpu-recipes-v0.1.4](https://github.com/AI-Hypercomputer/maxtext/releases/tag/tpu-recipes-v0.1.4) tag to run this recipe:
```
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# Instructions for training Llama3.1-8B-MaxText on TPU trillium (v6e-8)

## XPK setup
Please follow the [XPK_README](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/trillium/XPK_README.md) to create your GKE cluster with XPK
Please follow the [XPK_README](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/XPK_README.md) to create your GKE cluster with XPK

## Prep for Maxtext

### Install MaxText and Build Docker Image
Please follow the [MAXTEXT_README](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/trillium/MAXTEXT_README.md) to install maxtext and build the docker image. The following variables should be set:
Please follow the [MAXTEXT_README](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/MAXTEXT_README.md) to install maxtext and build the docker image. The following variables should be set:

In step 1, use the MaxText [tpu-recipes-v0.1.4](https://github.com/AI-Hypercomputer/maxtext/releases/tag/tpu-recipes-v0.1.4) tag to run this recipe:
```
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# Instructions for training Mistral-7B-MaxText on TPU trillium (v6e-8)

## XPK setup
Please follow the [XPK_README](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/trillium/XPK_README.md) to create your GKE cluster with XPK
Please follow the [XPK_README](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/XPK_README.md) to create your GKE cluster with XPK

## Prep for Maxtext

### Install MaxText and Build Docker Image
Please follow the [MAXTEXT_README](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/trillium/MAXTEXT_README.md) to install maxtext and build the docker image. The following variables should be set:
Please follow the [MAXTEXT_README](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/MAXTEXT_README.md) to install maxtext and build the docker image. The following variables should be set:

In step 1, use the MaxText [tpu-recipes-v0.1.2](https://github.com/AI-Hypercomputer/maxtext/releases/tag/tpu-recipes-v0.1.2) tag to run this recipe:
```
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# Instructions for training Mixtral-8x22B-MaxText on TPU trillium

## XPK setup
Please follow this [link](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/trillium/XPK_README.md) to create your GKE cluster with XPK
Please follow this [link](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/XPK_README.md) to create your GKE cluster with XPK

## Prep for Maxtext
Please follow this [link](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/trillium/MAXTEXT_README.md) to install maxtext and build docker image
Please follow this [link](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/MAXTEXT_README.md) to install maxtext and build docker image

## Run Maxtext Mixtral-8x7B workloads on GKE

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# Instructions for training Mixtral-8x7B-MaxText on TPU trillium

## XPK setup
Please follow the [XPK_README](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/trillium/XPK_README.md) to create your GKE cluster with XPK
Please follow the [XPK_README](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/XPK_README.md) to create your GKE cluster with XPK

## Prep for Maxtext

### Install MaxText and Build Docker Image
Please follow the [MAXTEXT_README](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/trillium/MAXTEXT_README.md) to install maxtext and build the docker image. The following variables should be set:
Please follow the [MAXTEXT_README](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/MAXTEXT_README.md) to install maxtext and build the docker image. The following variables should be set:

In step 1, use the MaxText [tpu-recipes-v0.1.2](https://github.com/AI-Hypercomputer/maxtext/releases/tag/tpu-recipes-v0.1.2) tag to run this recipe:
```
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# Instructions for training DeepSeek-671B-MaxText on TPU v5p-1024

## XPK setup
Please follow this [link](https://github.com/AI-Hypercomputer/tpu-recipes/blob/main/training/XPK_README.md) to create your GKE cluster with XPK

## Prep for Maxtext

1. Clone [Maxtext](https://github.com/AI-Hypercomputer/maxtext) repo
```
git clone https://github.com/AI-Hypercomputer/maxtext.git
cd maxtext
git checkout 3eb77db3c94580f56f1b738f8d254b03bd205e35
```

2. Run the following commands to build the docker image
```
bash docker_build_dependency_image.sh DEVICE=tpu MODE=stable JAX_VERSION=0.7.0
```

3. Create your new GCS bucket

This is the GCS folder for storing test results. You can re-use any of your existing GCS buckets. To create a new bucket:
```
GCS_PATH=gs://v5p-demo #<your_GCS_folder_for_results>
gcloud storage buckets create ${GCS_PATH} --project ${PROJECT}
```

4. Specify your workload enviroment variables
```
export PROJECT=#<your_compute_project>
export ZONE=#<your_compute_zone>
export CLUSTER_NAME=#<your_cluster_name>
export OUTPUT_DIR=gs://v5p-demo/ #<your_GCS_folder_for_results>
export DEVICE_TYPE=${DEVICE_TYPE} # v5p-1024 for 512 v5p chips
```

## Run workloads

5. From the MaxText root directory, start your workload:
```
python3 -m benchmarks.benchmark_runner xpk \
--project=$PROJECT \
--zone=$ZONE \
--device_type=${DEVICE_TYPE} \
--num_slices=1 \
--cluster_name=${CLUSTER_NAME} \
--base_output_directory=${OUTPUT_DIR} \
--model_name="deepseek3_671b_v5p_1024" \
--base_docker_image=maxtext_base_image
```

6. Check the training log

From your workload logs, you should see step time logs like the following, as training progresses:
```
completed step: 11, seconds: 90.668, TFLOP/s/device: 152.415, Tokens/s/device: 542.108, total_weights: 25165824, loss: 10.989
```

7. Workload configuration

Workload configuration details can be found [here](https://github.com/AI-Hypercomputer/maxtext/blob/3eb77db3c94580f56f1b738f8d254b03bd205e35/benchmarks/maxtext_v5p_model_configs.py) in MaxText GitHub repo. Look for the configuration `deepseek3_671b_v5p_1024`.
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