diff --git a/launcher_scripts/conf/training/mistral/mistral_nemo_123b.yaml b/launcher_scripts/conf/training/mistral/mistral_nemo_123b.yaml
new file mode 100644
index 000000000..c7e6e5aaf
--- /dev/null
+++ b/launcher_scripts/conf/training/mistral/mistral_nemo_123b.yaml
@@ -0,0 +1,231 @@
+run:
+  name: mistral_7b
+  results_dir: ${base_results_dir}/${.name}
+  time_limit: "0-04:00:00"
+  dependency: "singleton"
+trainer:
+  num_nodes: 16
+  devices: 8
+  accelerator: gpu
+  precision: bf16
+  logger: False # logger provided by exp_manager
+  enable_checkpointing: False
+  use_distributed_sampler: False
+  max_epochs: null
+  max_steps: 300000 # consumed_samples = global_step * global_batch_size
+  max_time: "05:23:30:00" # days:hours:minutes:seconds
+  log_every_n_steps: 10
+  val_check_interval: 2000
+  limit_val_batches: 32
+  limit_test_batches: 50
+  accumulate_grad_batches: 1
+  gradient_clip_val: 1.0
+exp_manager:
+  explicit_log_dir: ${training.run.results_dir}/results
+  exp_dir: null
+  name: megatron_mistral
+  create_wandb_logger: False
+  wandb_logger_kwargs:
+    project: nemo_mistral_pretrain
+    name: ${training.run.name}
+  resume_if_exists: false
+  resume_ignore_no_checkpoint: true
+  create_checkpoint_callback: True
+  checkpoint_callback_params:
+    monitor: val_loss
+    save_top_k: 10
+    mode: min
+    always_save_nemo: False # saves nemo file during validation, not implemented for model parallel
+    save_nemo_on_train_end: False # not recommended when training large models on clusters with short time limits
+    filename: 'megatron_mistral--{val_loss:.2f}-{step}-{consumed_samples}'
+    model_parallel_size: ${multiply:${training.model.tensor_model_parallel_size}, ${training.model.pipeline_model_parallel_size}}
+  log_step_timing: True
+  step_timing_kwargs:
+    sync_cuda: True
+    buffer_size: 5
+
+model:
+  mcore_gpt: true
+  micro_batch_size: 1
+  global_batch_size: 32
+  rampup_batch_size: null
+  tensor_model_parallel_size: 8
+  pipeline_model_parallel_size: 1
+  virtual_pipeline_model_parallel_size: null
+  encoder_seq_length: 4096
+  max_position_embeddings: 32768
+  num_layers: 88
+  hidden_size: 12288
+  ffn_hidden_size: 28672
+  num_attention_heads: 96
+  init_method_std: 0.02
+  use_scaled_init_method: true
+  hidden_dropout: 0.0
+  attention_dropout: 0.0
+  ffn_dropout: 0
+  kv_channels: 128
+  apply_query_key_layer_scaling: false
+  normalization: rmsnorm
+  layernorm_epsilon: 1.0e-05
+  do_layer_norm_weight_decay: false
+  make_vocab_size_divisible_by: 128
+  pre_process: true
+  post_process: true
+  persist_layer_norm: true
+  bias: false
+  activation: fast-swiglu
+  headscale: false
+  transformer_block_type: pre_ln
+  openai_gelu: false
+  normalize_attention_scores: true
+  position_embedding_type: rope
+  rotary_percentage: 1.0
+  attention_type: multihead
+  share_embeddings_and_output_weights: false
+  overlap_p2p_comm: false
+  batch_p2p_comm: true
+  seq_len_interpolation_factor: null
+  num_query_groups: 8
+  tokenizer:
+    library: huggingface
+    type: mistralai/Mistral-Large-Instruct-2407
+    use_fast: true
+  native_amp_init_scale: 4294967296
+  native_amp_growth_interval: 1000
+  hysteresis: 2
+  fp32_residual_connection: false
+  fp16_lm_cross_entropy: false
+  megatron_amp_O2: True
+  grad_allreduce_chunk_size_mb: 125
+  grad_div_ar_fusion: true
+  gradient_accumulation_fusion: false
+  bias_activation_fusion: false
+  bias_dropout_add_fusion: false
+  masked_softmax_fusion: true
+  get_attention_mask_from_fusion: true
+  seed: 1234
+  resume_from_checkpoint: null
+  use_cpu_initialization: false
+  onnx_safe: false
+  apex_transformer_log_level: 30
+  gradient_as_bucket_view: true
+  sync_batch_comm: false
+  activations_checkpoint_granularity: null
+  activations_checkpoint_method: null
+  activations_checkpoint_num_layers: null
+  num_micro_batches_with_partial_activation_checkpoints: null
+  activations_checkpoint_layers_per_pipeline: null
+  sequence_parallel: true
+  transformer_engine: true
+  fp8: false
+  fp8_e4m3: false
+  fp8_hybrid: true
+  fp8_margin: 0
+  fp8_interval: 1
+  fp8_amax_history_len: 1024
+  fp8_amax_compute_algo: max
+  reduce_amax: true
+  use_emha: false
+  ub_tp_comm_overlap: false
+  ub_tp_comm_overlap_cfg: null
+  use_flash_attention: false
+  nsys_profile:
+    enabled: false
+    start_step: 10
+    end_step: 10
+    ranks:
+    - 0
+    gen_shape: false
+  optim:
+    name: distributed_fused_adam
+    lr: 0.0001
+    weight_decay: 0.1
+    betas:
+    - 0.9
+    - 0.95
+    sched:
+      name: CosineAnnealing
+      warmup_steps: 107
+      constant_steps: 11873
+      min_lr: 1.0e-05
+  window_size:
+  - 4096
+  - 0
+  gc_interval: 0
+  precision: bf16
+  mcore_customization_config:
+    new_decoder_architecture: false
+    parallel_attention: true
+  data:
+    data_impl: mmap
+    splits_string: "99990,8,2"
+    seq_length: 2048
+    skip_warmup: true
+    num_workers: 2
+    dataloader_type: single
+    reset_position_ids: false
+    reset_attention_mask: false
+    eod_mask_loss: false
+    index_mapping_dir: null
+    data_prefix:
+    - .0333
+    - ${data_dir}/my-mistral_00_text_document
+    - .0333
+    - ${data_dir}/my-mistral_01_text_document
+    - .0333
+    - ${data_dir}/my-mistral_02_text_document
+    - .0333
+    - ${data_dir}/my-mistral_03_text_document
+    - .0333
+    - ${data_dir}/my-mistral_04_text_document
+    - .0333
+    - ${data_dir}/my-mistral_05_text_document
+    - .0333
+    - ${data_dir}/my-mistral_06_text_document
+    - .0333
+    - ${data_dir}/my-mistral_07_text_document
+    - .0333
+    - ${data_dir}/my-mistral_08_text_document
+    - .0333
+    - ${data_dir}/my-mistral_09_text_document
+    - .0333
+    - ${data_dir}/my-mistral_10_text_document
+    - .0333
+    - ${data_dir}/my-mistral_11_text_document
+    - .0333
+    - ${data_dir}/my-mistral_12_text_document
+    - .0333
+    - ${data_dir}/my-mistral_13_text_document
+    - .0333
+    - ${data_dir}/my-mistral_14_text_document
+    - .0333
+    - ${data_dir}/my-mistral_15_text_document
+    - .0333
+    - ${data_dir}/my-mistral_16_text_document
+    - .0333
+    - ${data_dir}/my-mistral_17_text_document
+    - .0333
+    - ${data_dir}/my-mistral_18_text_document
+    - .0333
+    - ${data_dir}/my-mistral_19_text_document
+    - .0333
+    - ${data_dir}/my-mistral_20_text_document
+    - .0333
+    - ${data_dir}/my-mistral_21_text_document
+    - .0333
+    - ${data_dir}/my-mistral_22_text_document
+    - .0333
+    - ${data_dir}/my-mistral_23_text_document
+    - .0333
+    - ${data_dir}/my-mistral_24_text_document
+    - .0333
+    - ${data_dir}/my-mistral_25_text_document
+    - .0333
+    - ${data_dir}/my-mistral_26_text_document
+    - .0333
+    - ${data_dir}/my-mistral_27_text_document
+    - .0333
+    - ${data_dir}/my-mistral_28_text_document
+    - .0334
+    - ${data_dir}/my-mistral_29_text_document
+