Upload MiniMaxAI_MiniMax-M2.1_1.txt with huggingface_hub

MiniMaxAI_MiniMax-M2.1_1.txt

@@ -0,0 +1,44 @@
+```CODE: 
+# Load model directly
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+tokenizer = AutoTokenizer.from_pretrained("MiniMaxAI/MiniMax-M2.1", trust_remote_code=True)
+model = AutoModelForCausalLM.from_pretrained("MiniMaxAI/MiniMax-M2.1", trust_remote_code=True)
+messages = [
+    {"role": "user", "content": "Who are you?"},
+]
+inputs = tokenizer.apply_chat_template(
+	messages,
+	add_generation_prompt=True,
+	tokenize=True,
+	return_dict=True,
+	return_tensors="pt",
+).to(model.device)
+
+outputs = model.generate(**inputs, max_new_tokens=40)
+print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))
+```
+
+ERROR: 
+Traceback (most recent call last):
+  File "/tmp/MiniMaxAI_MiniMax-M2.1_1NRpJbd.py", line 27, in <module>
+    model = AutoModelForCausalLM.from_pretrained("MiniMaxAI/MiniMax-M2.1", trust_remote_code=True)
+  File "/tmp/.cache/uv/environments-v2/a05929c41cbe0b8c/lib/python3.13/site-packages/transformers/models/auto/auto_factory.py", line 365, in from_pretrained
+    return model_class.from_pretrained(
+           ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
+        pretrained_model_name_or_path, *model_args, config=config, **hub_kwargs, **kwargs
+        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+    )
+    ^
+  File "/tmp/.cache/uv/environments-v2/a05929c41cbe0b8c/lib/python3.13/site-packages/transformers/modeling_utils.py", line 4072, in from_pretrained
+    model = cls(config, *model_args, **model_kwargs)
+  File "/tmp/.cache/huggingface/modules/transformers_modules/MiniMaxAI/MiniMax_hyphen_M2_dot_1/69af3144792884ee6edeb07f465074d1607b92f6/modeling_minimax_m2.py", line 590, in __init__
+    self.model = MiniMaxM2Model(config)
+                 ~~~~~~~~~~~~~~^^^^^^^^
+  File "/tmp/.cache/huggingface/modules/transformers_modules/MiniMaxAI/MiniMax_hyphen_M2_dot_1/69af3144792884ee6edeb07f465074d1607b92f6/modeling_minimax_m2.py", line 429, in __init__
+    self.rotary_emb = MiniMaxM2RotaryEmbedding(config=config)
+                      ~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^
+  File "/tmp/.cache/huggingface/modules/transformers_modules/MiniMaxAI/MiniMax_hyphen_M2_dot_1/69af3144792884ee6edeb07f465074d1607b92f6/modeling_minimax_m2.py", line 376, in __init__
+    self.rope_init_fn = ROPE_INIT_FUNCTIONS[self.rope_type]
+                        ~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^
+KeyError: 'default'