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LFM2-2.6B

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mlabonne commited on Sep 23, 2025

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@@ -252,7 +252,7 @@ We recommend fine-tuning LFM2 models on your use cases to maximize performance.
 LFM2 outperforms similar-sized models across different evaluation categories. We only report scores using instruct variants and non-thinking modes for consistency.
-![image/png](https://cdn-uploads.huggingface.co/production/uploads/61b8e2ba285851687028d395/3cB7VqMnrG9I8EqrL7k-q.png)
 | Model                  | MMLU  | GPQA  | IFEval | IFBench | GSM8K | MGSM  | MMMLU |
 | ---------------------- | ----- | ----- | ------ | ------- | ----- | ----- | ----- |

 LFM2 outperforms similar-sized models across different evaluation categories. We only report scores using instruct variants and non-thinking modes for consistency.
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/61b8e2ba285851687028d395/xQNi_QoqAWBB1vg2XR3Rh.png)
 | Model                  | MMLU  | GPQA  | IFEval | IFBench | GSM8K | MGSM  | MMMLU |
 | ---------------------- | ----- | ----- | ------ | ------- | ----- | ----- | ----- |