fix condition and add logging

src/axolotl/utils/models.py

@@ -355,7 +355,7 @@ def load_model(
             if hasattr(module, "weight"):
                 module.to(torch.float32)
 
-    needs_fa2_dtype = not cfg.adapter
+    needs_fa2_dtype = cfg.adapter is not None
     if not cfg.gptq and (
         (cfg.adapter == "lora" and load_in_8bit)
         or (cfg.adapter == "qlora" and cfg.load_in_4bit)
@@ -369,6 +369,7 @@ def load_model(
     # LlamaRMSNorm layers are in fp32 after kbit_training or full finetune, so we need to
     # convert them back to fp16/bf16 for flash-attn compatibility.
     if needs_fa2_dtype and (cfg.flash_attention and cfg.is_llama_derived_model):
+        LOG.info("converting modules to %s for flash attention", cfg.torch_dtype)
         for name, module in model.named_modules():
             if "norm" in name:
                 module.to(cfg.torch_dtype)