LiquidAI
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LFM2-1.2B-Tool

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mlabonne commited on Sep 25

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@@ -123,7 +123,7 @@ For edge inference, latency is a crucial factor in delivering a seamless and sat
 Therefore, the goal was to develop a tool calling model that is competitive with thinking models, yet operates without any internal chain-of-thought process.
-![68d41338cc1b357346db2546_Darkmode](https://cdn-uploads.huggingface.co/production/uploads/61b8e2ba285851687028d395/jLHRpVkunyTPBbIuBHO4j.png)
 We evaluated each model on a proprietary benchmark that was specifically designed to prevent data contamination. The benchmark ensures that performance metrics reflect genuine tool-calling capabilities rather than memorized patterns from training data.

 Therefore, the goal was to develop a tool calling model that is competitive with thinking models, yet operates without any internal chain-of-thought process.
+![image](https://cdn-uploads.huggingface.co/production/uploads/61b8e2ba285851687028d395/gdPh7juYTsxc7wpD5iYS_.png)
 We evaluated each model on a proprietary benchmark that was specifically designed to prevent data contamination. The benchmark ensures that performance metrics reflect genuine tool-calling capabilities rather than memorized patterns from training data.