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README.md
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@@ -69,7 +69,6 @@ Below is the training loss progression during the instruction tuning phase. Note
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Please manage your expectations when using TinyMemoryLM:
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* **Reasoning:** While trained with Chain-of-Thought markers (`<|begin_of_thought|>`, `<|begin_of_solution|>`), the model often memorizes the format scaffolding without genuine reasoning capability.
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* **Repetition:** Tiny models are prone to collapsing into repetitive token loops.
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* **Knowledge:** The model has limited world knowledge due to parameter constraints.
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* **Usage:** This model is intended for **research, educational purposes, and architectural benchmarking**. It is not suitable for assistant tasks or reliable information retrieval.
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Please manage your expectations when using TinyMemoryLM:
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* **Repetition:** Tiny models are prone to collapsing into repetitive token loops.
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| 73 |
* **Knowledge:** The model has limited world knowledge due to parameter constraints.
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| 74 |
* **Usage:** This model is intended for **research, educational purposes, and architectural benchmarking**. It is not suitable for assistant tasks or reliable information retrieval.
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