Improve model card: Add pipeline tag, paper link, code repository and license

README.md

@@ -1,13 +1,19 @@
 ---
 base_model: meta-llama/Meta-Llama-3-8B-Instruct
 library_name: peft
+pipeline_tag: question-answering
+license: mit
 ---
 
 # Model Card for Model ID
 
-<!-- Provide a quick summary of what the model is/does. -->
+This is a Lora adapter trained on top of Meta-Llama-3-8B-Instruct as described in the paper [RankCoT: Refining Knowledge for Retrieval-Augmented Generation through Ranking Chain-of-Thoughts](https://huggingface.co/papers/2502.17888).
+
+Project page: https://yanqval.github.io/PAE/.
 
+Code: https://github.com/NEUIR/RankCoT
 
+<!-- Provide a quick summary of what the model is/does. -->
 
 ## Model Details
 
@@ -15,14 +21,12 @@ library_name: peft
 
 <!-- Provide a longer summary of what this model is. -->
 
-
-
 - **Developed by:** [More Information Needed]
 - **Funded by [optional]:** [More Information Needed]
 - **Shared by [optional]:** [More Information Needed]
 - **Model type:** [More Information Needed]
 - **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
+- **License:** MIT
 - **Finetuned from model [optional]:** [More Information Needed]
 
 ### Model Sources [optional]
@@ -89,7 +93,6 @@ Use the code below to get started with the model.
 
 [More Information Needed]
 
-
 #### Training Hyperparameters
 
 - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
@@ -130,8 +133,6 @@ Use the code below to get started with the model.
 
 #### Summary
 
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-
 ## Model Examination [optional]
 
 <!-- Relevant interpretability work for the model goes here -->