add results table

README.md

@@ -109,6 +109,21 @@ This model is a fine-tuned version of [deepseek-ai/deepseek-math-7b-base](https:
 - **License:** Apache 2.0
 - **Finetuned from model:** [deepseek-ai/deepseek-math-7b-base](https://huggingface.co/deepseek-ai/deepseek-math-7b-base)
 
+## Model performance
+
+| | | NuminaMath-7B-CoT | NuminaMath-7B-TIR | Qwen2-7B-Instruct | Llama3-8B-Instruct | DeepSeekMath-7B-Instruct | DeepSeekMath-7B-RL | DART-Math-7B-CoT |
+| --- | --- | :---: | :---: | :---: | :---: | :---: | :---: | :---: |
+| **GSM8k** | 0-shot | 76.3% | 84.6% | 82.3% | 79.6% | 82.8% | **88.2%** | 86.6% |
+| Grade school math | 
+| **MATH** | 0-shot | 55.8% | **68.1%** | 49.6% | 30.0% | 46.8% | 51.7% | 53.6% |
+| Math problem-solving |
+| **AMC 2023** | 0-shot | 11/40 | **20/40** | 10/40 | 2/40 | 7/40 | 9/40 | 11/40 |
+| Competition-level math | maj@64 | 18/40 | **31/40** | 13/40 | 9/40 | 13/40 | 14/40 | 16/40 |
+| **AIME 2024** | 0-shot | 0/30 | **5/30** | 1/30 | 0/30 | 1/30 | 1/30 | 1/30 |
+| Competition-level math | maj@64 | 1/30 | **10/30** | 4/30 | 2/30 | 1/30 | 1/30 | 1/30 |
+
+*Table: Comparison of various 7B and 8B parameter language models on different math benchmarks. All scores except those for NuminaMath-7B-TIR are reported without tool-integrated reasoning.*
+
 ### Model Sources
 
 <!-- Provide the basic links for the model. -->