update disclaimer

Signed-off-by: Kyle Sayers <[email protected]>

Author: kylesayrs

examples/transform/quip_example.py

@@ -1,17 +1,32 @@
 """
-NOTE: models produced using this example will not be capable of running in vLLM.
-You will also need to install `transformers>=4.56` or install from source
-See https://github.com/vllm-project/vllm/pull/22219 for progress updates
+WARNING: This example requires the following minimum versions:
+    * compressed-tensors>=0.10.3.dev
+    * transformers>=4.56.dev
+Note that (you may need to install from source)
+
+Models produced by this example will not be runnable in vLLM without
+the following changes: https://github.com/vllm-project/vllm/pull/22219
 """
 
 from datasets import load_dataset
+from packaging import version
 from transformers import AutoModelForCausalLM, AutoTokenizer
+from transformers.utils.import_utils import _is_package_available
 
 from llmcompressor import oneshot
 from llmcompressor.modifiers.quantization import QuantizationModifier
 from llmcompressor.modifiers.transform import QuIPModifier
 from llmcompressor.utils import dispatch_for_generation
 
+# check correct versioning
+_, ct_version = _is_package_available("compressed_tensors", return_version=True)
+_, tfms_version = _is_package_available("transformers", return_version=True)
+if version.parse(ct_version) < version.parse("0.10.3.dev"):
+    print(version.parse(ct_version))
+    raise ValueError("Please install compressed-tensors>=0.10.3 or from source")
+if version.parse(tfms_version) < version.parse("4.56.dev"):
+    raise ValueError("Please install transformers>=4.56 or from source")
+
 # Select model and load it.
 MODEL_ID = "meta-llama/Llama-3.1-8B-Instruct"