Update README.md

README.md

@@ -69,14 +69,14 @@ For local inference, you can use `llama.cpp`, `ONNX`, `MLX` and `MLC`. You can f
 
 ## Evaluation
 
-In this section, we report the evaluation results of SmolLM3 model. All evaluations are zero-shot unless stated otherwise, and we use [lighteval](https://github.com/huggingface/lighteval) to run them. For Ruler 64k evaluation, we apply YaRN to the Qwen models with 32k context to extrapolate the context length.
+In this section, we report the evaluation results of SmolLM3 model. All evaluations are zero-shot unless stated otherwise, and we use [lighteval](https://github.com/huggingface/lighteval) to run them.
 
 We highlight the best score in bold and underline the second-best score.
 
 ### Base Pre-Trained Model
 
 #### English benchmarks
-Note: All evaluations are zero-shot unless stated otherwise.
+Note: All evaluations are zero-shot unless stated otherwise. For Ruler 64k evaluation, we apply YaRN to the Qwen models with 32k context to extrapolate the context length.
 
 | Category | Metric | SmolLM3-3B | Qwen2.5-3B | Llama3-3.2B | Qwen3-1.7B-Base | Qwen3-4B-Base |
 |---------|--------|---------------------|------------|--------------|------------------|---------------|