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test_minimax_m2_hf.py

@@ -21,20 +21,20 @@ from pathlib import Path
 import torch.nn as nn
 from transformers import AutoModelForCausalLM, AutoTokenizer, TextIteratorStreamer
 
-from gptqmodel.hf_minimax_m2.modeling_minimax_m2 import (
-    MiniMaxAttention,
-    MiniMaxDecoderLayer,
-    MiniMaxForCausalLM,
-    MiniMaxMLP,
-    MiniMaxM2Attention,
-    MiniMaxM2DecoderLayer,
-    MiniMaxM2ForCausalLM,
-    MiniMaxM2MLP,
-    MiniMaxM2RMSNorm,
-    MiniMaxM2SparseMoeBlock,
-    MiniMaxRMSNorm,
-    MiniMaxSparseMoeBlock,
-)
+# from gptqmodel.hf_minimax_m2.modeling_minimax_m2 import (
+#     MiniMaxAttention,
+#     MiniMaxDecoderLayer,
+#     MiniMaxForCausalLM,
+#     MiniMaxMLP,
+#     MiniMaxM2Attention,
+#     MiniMaxM2DecoderLayer,
+#     MiniMaxM2ForCausalLM,
+#     MiniMaxM2MLP,
+#     MiniMaxM2RMSNorm,
+#     MiniMaxM2SparseMoeBlock,
+#     MiniMaxRMSNorm,
+#     MiniMaxSparseMoeBlock,
+# )
 
 
 def parse_args() -> argparse.Namespace: