Add library name and clarify license

README.md

@@ -1,6 +1,9 @@
 ---
 license: llama3
+library_name: transformers
+pipeline_tag: text-generation
 ---
+
 This model is a fine-tuned Llama3 model, trained on the training set of PromptEvals (https://huggingface.co/datasets/reyavir/PromptEvals). It is fine-tuned to generate high quality assertion criteria for prompt templates.
 
 Model Card:  
@@ -10,7 +13,7 @@ Model Details
 – Model version: 3.1  
 – Model type: decoder-only Transformer  
 – Information about training algorithms, parameters, fairness constraints or other applied approaches, and features: 8 billion parameters, fine-tuned by us using Axolotl (https://github.com/axolotl-ai-cloud/axolotl)  
-– Paper or other resource for more information: [Llama 3](https://arxiv.org/abs/2407.21783), [PromptEvals](https://arxiv.org/abs/2504.14738)   
+– Paper or other resource for more information: [Llama 3](https://arxiv.org/abs/2407.21783), [PromptEvals](https://huggingface.co/papers/2504.14738)   
 – Citation details:   
 ```bibtex
 @inproceedings{
@@ -83,4 +86,4 @@ Ethical Considerations:
 PromptEvals is open-source and is intended to be used as a benchmark to evaluate models' ability to identify and generate assertion criteria for prompts. However, because it is open-source, it may be used in pre-training models, which can impact the effectiveness of the benchmark.
 Additionally, PromptEvals uses prompts contributed by a variety of users, and the prompts may not represent all domains equally.
 However, we believe that despite this, our benchmark still provides value and can be useful in evaluating models on generating assertion criteria.  
-Caveats and Recommendations: None
+Caveats and Recommendations: None