diff --git a/unsloth/models/llama.py b/unsloth/models/llama.py
index c0242825d3..bb5c841409 100644
--- a/unsloth/models/llama.py
+++ b/unsloth/models/llama.py
@@ -65,7 +65,7 @@ except:
     # Old HF Hub versions <= 0.0.25
     from huggingface_hub.utils._token import get_token
 pass
-
+from triton import __version__ as triton_version
 
 def original_apply_qkv(self, X):
     Q = self.q_proj(X)
@@ -1549,9 +1549,9 @@ class FastLlamaModel:
         max_memory = round(gpu_stats.total_memory / 1024 / 1024 / 1024, 3)
 
         statistics = \
-           f"==((====))==  Unsloth {__version__}: Fast {model_patcher.__name__[4:-5]} patching. Transformers = {transformers_version}.\n"\
-           f"   \\\   /|    GPU: {gpu_stats.name}. Max memory: {max_memory} GB. Platform = {platform_system}.\n"\
-           f"O^O/ \_/ \\    Pytorch: {torch.__version__}. CUDA = {gpu_stats.major}.{gpu_stats.minor}. CUDA Toolkit = {torch.version.cuda}.\n"\
+           f"==((====))==  Unsloth {__version__}: Fast {model_patcher.__name__[4:-5]} patching. Transformers:{transformers_version}.\n"\
+           f"   \\\   /|    GPU: {gpu_stats.name}. Max memory: {max_memory} GB. Platform: {platform_system}.\n"\
+           f"O^O/ \_/ \\    Torch: {torch.__version__}. CUDA: {gpu_stats.major}.{gpu_stats.minor}. CUDA Toolkit: {torch.version.cuda}. Triton: {triton_version}\n"\
            f"\        /    Bfloat16 = {str(SUPPORTS_BFLOAT16).upper()}. FA [Xformers = {xformers_version}. FA2 = {HAS_FLASH_ATTENTION}]\n"\
            f' "-____-"     Free Apache license: http://github.com/unslothai/unsloth'
         print(statistics)