Update README.md

README.md

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 ![SmolTulu Banner](smoltulubanner.png)
 
-SmolTulu-1.7b-Instruct is the first model in a series of models meant to leverage [AllenAI's Tulu 3 post-training pipeline](https://allenai.org/blog/tulu-3-technical) to tune the [base version of Huggingface's SmolLM2-1.7b](https://huggingface.co/HuggingFaceTB/SmolLM2-1.7B)! The post training pipeline AllenAI came up with seemed like something perfect to apply here.
+SmolTulu-1.7b-Instruct is the first model in a series of models meant to leverage [AllenAI's Tulu 3 post-training pipeline](https://arxiv.org/abs/2411.15124) to tune the [base version of Huggingface's SmolLM2-1.7b](https://huggingface.co/HuggingFaceTB/SmolLM2-1.7B)! The post training pipeline AllenAI came up with seemed like something perfect to apply here.
 
 This model scores the highest current score in both IFEval and GSM8k while maintaining the extremely low contamination levels in Tulu 3 and SmolLM2! I've listed the datasets used to do both the SFT (supervised finetuning) and DPO (direct preference optimization) stages.
 
-Something important to note, this model has only undergone SFT and DPO, the RLVR (reinforcement learning with verifiable rewards) stage was too computationally expensive to run properly.
+Something important to note, this model has only undergone SFT and DPO! Find the RLVR version here, [SmolTulu-1.7b-Reinforced](https://huggingface.co/SultanR/SmolTulu-1.7b-Reinforced)
 
 ## Evaluation
 
 I ran these evaluations using [SmolLM2's evaluation code](https://github.com/huggingface/smollm/tree/main/evaluation) for a more fair comparison.
 
-| Metric | SmolTulu-1.7b-Instruct | SmolLM2-1.7B-Instruct | Llama-1B-Instruct | Qwen2.5-1.5B-Instruct | SmolLM1-1.7B-Instruct |
-|:----------------------------|:---------------------:|:---------------------:|:---------------------:|:---------------------:|:---------------------:|
-| IFEval (Average prompt/inst) | **67.7** | 56.7 | 53.5 | 47.4 | 23.1 |
-| GSM8K (5-shot) | **51.6** | 48.2 | 26.8 | 42.8 | 4.6 |
-| PIQA | 72.2 | **74.4** | 72.3 | 73.2 | 71.6 |
-| BBH (3-shot) | 33.8 | 32.2 | 27.6 | **35.3** | 25.7 |
-| ARC (Average) | 51.5 | **51.7** | 41.6 | 46.2 | 43.7 |
-| HellaSwag | 61.1 | **66.1** | 56.1 | 60.9 | 55.5 |
-| MMLU-Pro (MCF) | 17.4 | 19.3 | 12.7 | **24.2** | 11.7 |
+| Metric | SmolTulu-1.7b-Instruct | SmolTulu-1.7b-Reinforced | SmolLM2-1.7B-Instruct | Llama-1B-Instruct | Qwen2.5-1.5B-Instruct | SmolLM1-1.7B-Instruct |
+|:----------------------------|:---------------------:|:---------------------:|:---------------------:|:---------------------:|:---------------------:|:---------------------:|
+| ARC (Average) | 51.5 | 51.1 | **51.7** | 41.6 | 46.2 | 43.7 |
+| BBH (3-shot) | 33.8 | 33.4 | 32.2 | 27.6 | **35.3** | 25.7 |
+| GSM8K (5-shot) | 51.6 | **61.0** | 48.2 | 26.8 | 42.8 | 4.6 |
+| HellaSwag | 61.1 | 60.4 | **66.1** | 56.1 | 60.9 | 55.5 |
+| IFEval (Average prompt/inst) | 67.7 | **69.3** | 56.7 | 53.5 | 47.4 | 23.1 |
+| MMLU-Pro (MCF) | 17.4 | 17.3 | 19.3 | 12.7 | **24.2** | 11.7 |
+| PIQA | 72.2 | 72.1 | **74.4** | 72.3 | 73.2 | 71.6 |
 
 ## Usage