diff --git a/examples/data_generation_and_training/qwen3_30b_instruct_finetune.py b/examples/data_generation_and_training/qwen3_30b_instruct_finetune.py
new file mode 100644
index 000000000..02f42d2ad
--- /dev/null
+++ b/examples/data_generation_and_training/qwen3_30b_instruct_finetune.py
@@ -0,0 +1,81 @@
+import sys
+from pathlib import Path
+
+# Add scripts directory to path so we can import the run_e2e function.
+scripts_path = Path(__file__).absolute().parent.parent.parent / "scripts"
+sys.path.append(str(scripts_path))
+
+from gen_and_train import (  # noqa: E402
+    DataGenArgs,
+    TrainArgs,
+    VocabMappingArgs,
+    run_e2e,
+)
+
+### Example E2E full run for Qwen 3 8B on ShareGPT and UltraChat ###
+
+# Note: This is a full training run using all the data from ShareGPT (~130k samples) and
+# UltraChat (~200k samples).
+
+# Because this is a thinking model, we use "turn dropout" which randomly truncates
+# training conversations. This is because thinking models only use the last response
+# when training (via loss masking). By randomly truncating the conversations, the model
+# learns to generalize to both short and long conversations.
+
+# Timing (on 4x NVIDIA H100 80GB GPUs)
+# Data Generation: ~15 hours
+# Vocab Mapping: 6 seconds
+# Training: ~8 hours
+# Total: ~23 hours
+
+# Results on MT-Bench:
+# first token accuracy: 0.58
+# second token accuracy: 0.28
+# third token accuracy: 0.13
+# average acceptance length: 1.98
+
+
+if __name__ == "__main__":
+    VERIFIER_NAME_OR_PATH = "Qwen/Qwen3-30B-A3B-Instruct-2507"
+    OUTPUT_PATH = "Qwen/Qwen3-30B-A3B-Instruct-2507"
+
+    TOTAL_SEQ_LEN = 8192
+    TOTAL_SEQ_LEN2 = 2048
+
+    # Data Generation
+    data_gen_args_sharegpt = DataGenArgs(
+        train_data_path="sharegpt",
+        seq_length=TOTAL_SEQ_LEN,
+        turn_dropout=True,  # Turn dropout enabled here
+    )
+    '''
+    data_gen_args_ultrachat = DataGenArgs(
+        train_data_path="ultrachat",
+        seq_length=TOTAL_SEQ_LEN,
+        turn_dropout=True,  # Turn dropout enabled here
+    )
+    '''
+
+    # Vocab Mapping
+    vocab_mapping_args = VocabMappingArgs(
+        draft_vocab_size=64000,  # Use an 32k draft vocabulary
+        target_vocab_size=151936,  # From https://huggingface.co/Qwen/Qwen3-30B-A3B-Instruct-2507/blob/main/config.json#L29
+    )
+
+    # Training
+    train_args = TrainArgs(
+        logger="trackio",
+        lr=3e-5,
+        total_seq_len=TOTAL_SEQ_LEN2,
+        run_name="qwen3_30b_instruct_finetune",
+        epochs=10,
+        pretrained_model_path="RedHatAI/Qwen3-30B-A3B-Instruct-2507-speculator.eagle3",
+    )
+
+    run_e2e(
+        verifier_name_or_path=VERIFIER_NAME_OR_PATH,
+        output_path=OUTPUT_PATH,
+        data_gen_args=[data_gen_args_sharegpt],
+        vocab_mapping_args=None,
+        train_args=train_args,
+    )
\ No newline at end of file
diff --git a/scripts/gen_and_train.py b/scripts/gen_and_train.py
index 41ac85a8e..30e0a4bea 100644
--- a/scripts/gen_and_train.py
+++ b/scripts/gen_and_train.py
@@ -132,7 +132,7 @@ class TrainArgs(NamedTuple):
     scheduler_warmup_steps: int | _NS = _NOTSET
     scheduler_total_steps: int | _NS = _NOTSET
     scheduler_num_cosine_cycles: float | _NS = _NOTSET
-
+    pretrained_model_path: str | _NS = _NOTSET
 
 ### END OF SCRIPT ARGUMENTS ###