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LimiX-2M

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xuange commited on Nov 13, 2025

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@@ -2,7 +2,7 @@
   <img src="https://github.com/limix-ldm/LimiX/raw/main/doc/LimiX-Logo.png" alt="LimiX summary" width="89%">
 </div>
-#  :boom: News
  - 2025-11-10: LimiX-2M is officially released! Compared to LimiX-16M, this smaller variant offers significantly lower GPU memory usage and faster inference speed. The retrieval mechanism has also been enhanced, further improving model performance while reducing both inference time and memory consumption.
  - 2025-08-29: LimiX V1.0 Released.
@@ -282,7 +282,7 @@ print(f'R2: {r2}')
 For additional examples, refer to [inference_regression.py](https://github.com/limix-ldm/LimiX/raw/main/inference_regression.py)
 ## ➩ Missing value imputation
-For the demo file, see [examples/demo_missing_value_imputation.py](https://github.com/limix-ldm/LimiX/raw/main/examples/inference_regression.py)
 # ➤ Link
  - LimiX:Unleashing Structured-Data Modeling Capability for Generalist Intelligence: [LimiX:Unleashing Structured-Data Modeling Capability for Generalist Intelligence](https://arxiv.org/abs/2509.03505)

   <img src="https://github.com/limix-ldm/LimiX/raw/main/doc/LimiX-Logo.png" alt="LimiX summary" width="89%">
 </div>
+#  💥 News
  - 2025-11-10: LimiX-2M is officially released! Compared to LimiX-16M, this smaller variant offers significantly lower GPU memory usage and faster inference speed. The retrieval mechanism has also been enhanced, further improving model performance while reducing both inference time and memory consumption.
  - 2025-08-29: LimiX V1.0 Released.
 For additional examples, refer to [inference_regression.py](https://github.com/limix-ldm/LimiX/raw/main/inference_regression.py)
 ## ➩ Missing value imputation
+For the demo file, see [demo_missing_value_imputation.py](https://github.com/limix-ldm/LimiX/raw/main/examples/inference_regression.py)
 # ➤ Link
  - LimiX:Unleashing Structured-Data Modeling Capability for Generalist Intelligence: [LimiX:Unleashing Structured-Data Modeling Capability for Generalist Intelligence](https://arxiv.org/abs/2509.03505)