update evaluation section and remove extra space

README.md

@@ -164,7 +164,7 @@ You can specify custom instruction through the system prompt while controlling w
 ```python
 prompt = "Give me a brief explanation of gravity in simple terms."
 messages = [
-    {"role": "system", "content": "Speak like a pirate.  /think"},
+    {"role": "system", "content": "Speak like a pirate./think"},
     {"role": "user", "content": prompt}
 ]
 
@@ -179,11 +179,42 @@ 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 base 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 base 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.
 
+## Instruction Model
+
+### No Extended Thinking
+Evaluation results of non reasoning models and reasoning models in no thinking mode. We highlight the best and second-best scores in bold.
+| Category | Metric | SmoLLM3-3B | Qwen2.5-3B | Llama3.1-3B | Qwen3-1.7B | Qwen3-4B |
+|---------|--------|------------|------------|-------------|------------|----------|
+| High school math competition | AIME 2025 | <u>9.3</u> | 2.9 | 0.3 | 8.0 | **17.1** |
+| Math problem-solving | GSM-Plus | 72.8 | <u>74.1</u> | 59.2 | 68.3 | **82.1** |
+| Competitive programming | LiveCodeBench v4 | <u>15.2</u> | 10.5 | 3.4 | 15.0 | **24.9** |
+| Graduate-level reasoning | GPQA Diamond | <u>35.7</u> | 32.2 | 29.4 | 31.8 | **44.4** |
+| Instruction following | IFEval | **76.7** | 65.6 | 71.6 | <u>74.0</u> | 68.9 |
+| Alignment | MixEval Hard | 26.9 | <u>27.6</u> | 24.9 | 24.3 | **31.6** |
+| Tool Calling | BFCL| <u>92.3</u> | - | <u>92.3</u> * | 89.5  | **95.0** |
+| Multilingual Q&A | Global MMLU | <u>53.5</u> | 50.54 | 46.8 | 49.5 | **65.1** |
+(*): this is a tool calling finetune
+
+### Extended Thinking
+Evaluation results in reasoning mode for SmolLM3 and Qwen3 models: 
+| Category | Metric | SmoLLM3-3B | Qwen3-1.7B | Qwen3-4B |
+|---------|--------|------------|------------|----------|
+| High school math competition | AIME 2025 | <u>36.7</u> | 30.7 | **58.8** |
+| Math problem-solving | GSM-Plus | <u>83.4</u> | 79.4 | **88.2** |
+| Competitive programming | LiveCodeBench v4 | 30.0 | <u>34.4</u> | **52.9** |
+| Graduate-level reasoning | GPQA Diamond | <u>41.7</u> | 39.9 | **55.3** |
+| Instruction following | IFEval | 71.2 | <u>74.2</u> | **85.4** |
+| Alignment | MixEval Hard | 30.8 | <u>33.9</u> | **38.0** |
+| Tool Calling | BFCL | <u>88.8</u> | <u>88.8</u> | **95.5** |
+| Multilingual Q&A | Global MMLU | <u>64.1</u> | 62.3 | **73.3** |
+
+
 ## Base Pre-Trained Model
+For Ruler 64k evaluation, we apply YaRN to the Qwen models with 32k context to extrapolate the context length.
 
 ### English benchmarks
 Note: All evaluations are zero-shot unless stated otherwise.
@@ -212,7 +243,6 @@ Note: All evaluations are zero-shot unless stated otherwise.
 ### Multilingual benchmarks
 
 
-
 | Category | Metric | SmolLM3 3B Base | Qwen2.5-3B | Llama3.2 3B | Qwen3 1.7B Base | Qwen3 4B Base |
 |---------|--------|---------------------|------------|--------------|------------------|---------------|
 | Main supported languages |  |  |  |  |  |  |  |
@@ -251,35 +281,6 @@ The model has also been trained on Arabic (standard), Chinese and Russian data,
 | | Global MMLU (CF) | <u>36.51</u> | 32.47 | 34.52 | 34.83 | **38.80** |
 | | Flores-200 (5-shot) | 47.13 | 48.74 | 50.74 | <u>54.70</u> | **60.53** |
 
-
-## Instruction Model
-
-### No Extended Thinking
-Evaluation results of non reasoning models and reasoning models in no thinking mode. We highlight the best and second-best scores in bold.
-| Category | Metric | SmoLLM3-3B | Qwen2.5-3B | Llama3.1-3B | Qwen3-1.7B | Qwen3-4B |
-|---------|--------|------------|------------|-------------|------------|----------|
-| High school math competition | AIME 2025 | <u>9.3</u> | 2.9 | 0.3 | 8.0 | **17.1** |
-| Math problem-solving | GSM-Plus | 72.8 | <u>74.1</u> | 59.2 | 68.3 | **82.1** |
-| Competitive programming | LiveCodeBench v4 | <u>15.2</u> | 10.5 | 3.4 | 15.0 | **24.9** |
-| Graduate-level reasoning | GPQA Diamond | <u>35.7</u> | 32.2 | 29.4 | 31.8 | **44.4** |
-| Instruction following | IFEval | **76.7** | 65.6 | 71.6 | <u>74.0</u> | 68.9 |
-| Alignment | MixEval Hard | 26.9 | <u>27.6</u> | 24.9 | 24.3 | **31.6** |
-| Knowledge | MMLU-Pro | 45.0 | 41.9 | 36.6 | <u>45.6</u>  | **60.9** |
-| Multilingual Q&A | Global MMLU | <u>53.5</u> | 50.54 | 46.8 | 49.5 | **65.1** |
-
-### Extended Thinking
-Evaluation results in reasoning mode for SmolLM3 and Qwen3 models: 
-| Category | Metric | SmoLLM3-3B | Qwen3-1.7B | Qwen3-4B |
-|---------|--------|------------|------------|----------|
-| High school math competition | AIME 2025 | <u>36.7</u> | 30.7 | **58.8** |
-| Math problem-solving | GSM-Plus | <u>83.4</u> | 79.4 | **88.2** |
-| Competitive programming | LiveCodeBench v4 | 30.0 | <u>34.4</u> | **52.9** |
-| Graduate-level reasoning | GPQA Diamond | <u>41.7</u> | 39.9 | **55.3** |
-| Instruction following | IFEval | 71.2 | <u>74.2</u> | **85.4** |
-| Alignment | MixEval Hard | 30.8 | <u>33.9</u> | **38.0** |
-| Knowledge | MMLU-Pro | <u>58.4</u> | 57.8 | **70.2** |
-| Multilingual Q&A | Global MMLU | <u>64.1</u> | 62.3 | **73.3** |
-
 ## Training
 
 ### Model