From 86b401c12ff5fe30ab18761587c8a12dd19c6fc9 Mon Sep 17 00:00:00 2001
From: Christian Medina <37550954+cmedinasoriano@users.noreply.github.com>
Date: Wed, 1 Jul 2026 07:30:10 -0400
Subject: [PATCH] fix: convert FP8 to bf16 for PEFT compatibility

---
 training/scripts/train.py | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/training/scripts/train.py b/training/scripts/train.py
index 3bfbcfe..f204fe1 100755
--- a/training/scripts/train.py
+++ b/training/scripts/train.py
@@ -32,15 +32,15 @@ def train(config_path):
     
     print(f"Loading model: {config['base_model']}")
     
-    # Load bf16 model
+    # Load model and convert to bf16 (ignore FP8 quantization)
     print(f"Loading model: {config['base_model']}")
     model = AutoModelForCausalLM.from_pretrained(
         config["base_model"],
-        torch_dtype=torch.bfloat16,
+        torch_dtype=torch.bfloat16,  # Convert FP8 -> bf16
         device_map="cpu",  # Load to CPU first
         trust_remote_code=True,
     )
-    print("Model loaded.")
+    print("Model loaded and converted to bf16.")
     
     # Add LoRA
     lora_config = LoraConfig(