diff --git a/unsloth/chat_templates.py b/unsloth/chat_templates.py
index 5785894a23..29eb8618aa 100644
--- a/unsloth/chat_templates.py
+++ b/unsloth/chat_templates.py
@@ -1468,7 +1468,15 @@ def standardize_sharegpt(
         return { "conversations" : all_convos, }
     pass
 
-    return dataset.map(_standardize_dataset, batched = True, desc = "Standardizing format")
+    from multiprocessing import cpu_count
+    num_proc = cpu_count()
+
+    return dataset.map(
+        _standardize_dataset,
+        batched = True,
+        desc = "Unsloth: Standardizing formats",
+        num_proc = num_proc,
+    )
 pass
 
 
diff --git a/unsloth/models/vision.py b/unsloth/models/vision.py
index 0cb8349b59..8b144ec1c7 100644
--- a/unsloth/models/vision.py
+++ b/unsloth/models/vision.py
@@ -129,8 +129,12 @@ class FastBaseModel:
         try:    vllm_version = f" vLLM: {importlib_version('vllm')}."
         except: vllm_version = ""
 
+        model_name = model_types[0]
+        if model_name == "siglip" and len(model_types) != 1:
+            model_name = model_types[1]
+
         statistics = \
-           f"==((====))==  Unsloth {__version__}: Fast {model_types[0].title()} patching. Transformers: {transformers_version}.{vllm_version}\n"\
+           f"==((====))==  Unsloth {__version__}: Fast {model_name.title()} patching. Transformers: {transformers_version}.{vllm_version}\n"\
            f"   {chr(92)}{chr(92)}   /|    {gpu_stats.name}. Num GPUs = {torch.cuda.device_count()}. Max memory: {max_memory} GB. Platform: {platform_system}.\n"\
            f"O^O/ {chr(92)}_/ {chr(92)}    Torch: {torch.__version__}. CUDA: {gpu_stats.major}.{gpu_stats.minor}. CUDA Toolkit: {torch.version.cuda}. Triton: {triton_version}\n"\
            f"{chr(92)}        /    Bfloat16 = {str(SUPPORTS_BFLOAT16).upper()}. FA [Xformers = {xformers_version}. FA2 = {HAS_FLASH_ATTENTION}]\n"\