Remove internal lustre paths (#1148)

Remove internal /lusre paths

<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit

* **Configuration Updates**
* Set a concrete default container image to an NVIDIA PyTorch container
for templates.
* Removed built-in default values in scripts; key environment/config
variables must be provided externally.
* Replaced absolute example paths with placeholder relative paths and
TODO notes requiring user customization.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->

---------

Signed-off-by: Keval Morabia <28916987+kevalmorabia97@users.noreply.github.com>

Author: kevalmorabia97

examples/llm_qad/configs/qwen3-30b-a3b-instruct-2507-moe_template.conf

@@ -61,7 +61,7 @@ export DATACACHE_DIR="" # path to data cache directory
 ########################################################
 # CONTAINER
 ########################################################
-export CONTAINER_IMAGE="" # path to container image, e.g., nvcr.io/nvidia/pytorch:26.01-py3
+export CONTAINER_IMAGE="nvcr.io/nvidia/pytorch:26.01-py3" # path to container image or .sqsh file
 export CONTAINER_MOUNTS="" # container mounts, e.g., "/lustre/fs1:/lustre/fs1"
 export CONTAINER_WORKDIR="" # container work directory, e.g., "<path-to-modelopt>/Model-Optimizer/examples/llm_qad"
 

examples/llm_qad/configs/qwen3-8b_template.conf

@@ -59,7 +59,7 @@ export DATACACHE_DIR="" # path to data cache directory
 ########################################################
 # CONTAINER
 ########################################################
-export CONTAINER_IMAGE="" # path to container image, e.g., nvcr.io/nvidia/pytorch:26.01-py3
+export CONTAINER_IMAGE="nvcr.io/nvidia/pytorch:26.01-py3" # path to container image or .sqsh file
 export CONTAINER_MOUNTS="" # container mounts, e.g., "/lustre/fs1:/lustre/fs1"
 export CONTAINER_WORKDIR="" # container work directory
 

examples/llm_qad/sbatch_qad.sh

@@ -58,19 +58,8 @@ if [[ -n "$CONFIG_FILE" ]]; then
     fi
 fi
 
-# === Default Paths (override in config) ===
-MLM_DIR="${MLM_DIR:-/lustre/fs1/portfolios/coreai/projects/coreai_dlalgo_modelopt/users/weimingc/workspace/Megatron-LM}"
-MODELOPT_DIR="${MODELOPT_DIR:-/lustre/fs1/portfolios/coreai/projects/coreai_dlalgo_modelopt/users/weimingc/workspace/TensorRT-Model-Optimizer}"
-MODELS_ROOT="${MODELS_ROOT:-/lustre/fs1/portfolios/coreai/projects/coreai_dlalgo_modelopt/users/weimingc/models}"
-QAD_CHECKPOINT_ROOT="${QAD_CHECKPOINT_ROOT:-/lustre/fs1/portfolios/coreai/projects/coreai_dlalgo_modelopt/users/weimingc/checkpoints}"
-DATACACHE_DIR="${DATACACHE_DIR:-/lustre/fs1/portfolios/coreai/projects/coreai_dlalgo_modelopt/users/weimingc/data_cache}"
 LOG_DIR="${LOG_DIR:-${QAD_CHECKPOINT_ROOT}/logs_slurm}"
 
-# Container settings
-CONTAINER_IMAGE="${CONTAINER_IMAGE:-/lustre/fs1/portfolios/coreai/projects/coreai_dlalgo_modelopt/users/weimingc/containers/pytorch_25.06-py3.sqsh}"
-CONTAINER_MOUNTS="${CONTAINER_MOUNTS:-/lustre/fs1:/lustre/fs1}"
-CONTAINER_WORKDIR="${CONTAINER_WORKDIR:-/lustre/fs1/portfolios/coreai/projects/coreai_dlalgo_modelopt/users/weimingc/workspace/TensorRT-Model-Optimizer/examples/llm_qad}"
-
 # Parallelism (required from config)
 TP_SIZE="${TP_SIZE:?ERROR: TP_SIZE must be set in config}"
 MBS="${MBS:?ERROR: MBS must be set in config}"

examples/windows/torch_onnx/diffusers/qad_example/ltx2_qad.yaml

@@ -1,9 +1,9 @@
 # LTX-2 QAD Training Configuration
 model:
-  model_path: "/lustre/fsw/portfolios/adlr/projects/adlr_psx_numerics/users/ynankani/ComfyUI/models/checkpoints/ltx-av-step-1933500-split-new-vae.safetensors"
+  model_path: "/path/to/ltx2/checkpoint.safetensors"  # TODO: Set your LTX-2 checkpoint path
   training_mode: "full"
   load_checkpoint:
-  text_encoder_path: "/lustre/fsw/portfolios/adlr/users/dhutchins/models/gemma"
+  text_encoder_path: "/path/to/gemma"  # TODO: Set your Gemma text encoder path
 
 training_strategy:
   name: "text_to_video"
@@ -26,7 +26,7 @@ acceleration:
   load_text_encoder_in_8bit: true
 
 data:
-  preprocessed_data_root: "/lustre/fsw/portfolios/adlr/users/scavallari/ltx-qad/qad-dataset"
+  preprocessed_data_root: "/path/to/preprocessed"  # TODO: Set your preprocessed dataset path
   num_dataloader_workers: 2
 
 validation: