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config.json

@@ -1,6 +1,10 @@
 {
+  "architectures": [
+    "MambaModelForCausalLM"
+  ],
   "auto_map": {
-    "AutoConfig": "configuration_mamba.MambaConfig"
+    "AutoConfig": "configuration_mamba.MambaConfig",
+    "AutoModelForCausalLM": "modeling_mamba.MambaModelForCausalLM"
   },
   "bias": false,
   "conv_bias": true,
@@ -14,6 +18,7 @@
   "model_type": "mamba",
   "n_layer": 24,
   "pad_vocab_size_multiple": 8,
+  "torch_dtype": "float32",
   "transformers_version": "4.37.2",
   "vocab_size": 50280
 }

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:699ed6f59fb948186f449c5031e0dc659d504c90d7e018302aa1e190cdb40220
-size 516567560
+oid sha256:1bd3ca62665de4bfabff9d443f87a11090a10e505c0ccb56e6f9ca495b6e05bd
+size 671027808

modeling_mamba.py

@@ -311,7 +311,10 @@ class MambaModel(MambaPreTrainedModel):
         )
 
 class MambaModelForCausalLM(MambaPreTrainedModel):
-    _tied_weights_keys = ["lm_head.weight"]
+    _tied_weights_keys = [
+        "lm_head.weight",
+        "backbone.embedding.weight",
+    ]
 
     def __init__(self, config, **kwargs):
         # super().__init__(config)
@@ -336,7 +339,7 @@ class MambaModelForCausalLM(MambaPreTrainedModel):
             bias=False,
         )
 
-        self.lm_head.weight = self.backbone.embedding.weight
+        # self.lm_head.weight = self.backbone.embedding.weight
         self.post_init()
 
     # def get_input_embeddings(self):