Add pipeline tag and link to code

README.md

@@ -1,7 +1,7 @@
 ---
+base_model: meta-llama/Llama-3.2-1B-Instruct
 library_name: transformers
 license: other
-base_model: meta-llama/Llama-3.2-1B-Instruct
 tags:
 - llama-factory
 - full
@@ -9,6 +9,7 @@ tags:
 model-index:
 - name: ScienceLLaMA-1B
   results: []
+pipeline_tag: text-generation
 ---
 
 # ScienceLLaMA-3B
@@ -16,8 +17,8 @@ model-index:
 • 🤗 <a href="https://huggingface.co/datasets/JingyaoLi/Science-Logits-1.2M" target="_blank">Data </a> 
 • 🤗 <a href="https://huggingface.co/JingyaoLi/ScienceLLaMA-3b" target="_blank">ScienceLLaMA-3B </a> 
 • 🤗 <a href="https://huggingface.co/JingyaoLi/ScienceLLaMA-1b" target="_blank">ScienceLLaMA-1B </a> 
-• 🐱 <a href="Logits-based Finetuning" target="_blank">Code</a> 
-• 📃 Paper (TO be released) <br>
+• 🐱 <a href="https://github.com/hiyouga/LLaMA-Factory" target="_blank">Code</a> 
+• 📃 <a href="https://arxiv.org/abs/2505.24461" target="_blank">Paper</a> <br>
 </p>
 
 This model is a fine-tuned with **Logits-Based Finetuning** on the [JingyaoLi/Science-Logits-1.2M](https://huggingface.co/datasets/JingyaoLi/Science-Logits-1.2M), which integrates the strengths of supervised learning and knowledge distillation by combining teacher logits with ground truth labels. This preserves both correctness and linguistic diversity.
@@ -56,4 +57,4 @@ The following hyperparameters were used during training:
 - Transformers 4.45.0
 - Pytorch 2.4.0+cu121
 - Datasets 2.21.0
-- Tokenizers 0.20.1
+- Tokenizers 0.20.1