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README.md

@@ -60,7 +60,7 @@ from transformers import AutoModelForCausalLM, AutoTokenizer
 import torch
 
 model = AutoModelForCausalLM.from_pretrained(
-    "furukama/LFM2.5-1.2B-Text2SQL",
+    "hybridaione/LFM2.5-1.2B-Text2SQL",
     trust_remote_code=True,
     torch_dtype=torch.bfloat16,
     device_map="auto"
@@ -78,12 +78,6 @@ outputs = model.generate(inputs, max_new_tokens=256)
 print(tokenizer.decode(outputs[0], skip_special_tokens=True))
 ```
 
-## Limitations
-
-- Trained on synthetic data for a specific database schema
-- Best suited for similar SQL query patterns seen during training
-- May not generalize well to very different database schemas
-
 ## License
 
 This model is released under the Apache 2.0 license, following the base model's license.