Update README.md

README.md

@@ -107,6 +107,7 @@ MiniAxion1 is not intended to compete with large-scale models. Instead, it is bu
 * Susceptible to incorrect intermediate reasoning steps
 * Limited generalization beyond trained patterns
 * Not suitable for production use in critical systems
+* Due to 920k parameters, low results on evaluation is expected
 
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@@ -139,12 +140,14 @@ This model provides early evidence that:
 * Scaling parameters (1M → 10M range)
 * Better coupling between reasoning and answers
 * Task-specific specialization (e.g., math-only variants)
+* distillation knowledge on bigger models
 
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 ## 🤝 Acknowledgments
 
 This model was developed as part of ongoing experimentation in nano-scale reasoning systems.
+the main question was: "How low could a model think(or mimic it)?
 
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