Improve model card: Add pipeline tag, library name and clarify model description

This PR improves the model card by:

* Correcting the `pipeline_tag` to `text-generation`, reflecting the model's text generation capabilities.
* Specifying the `library_name` as `transformers`, enabling seamless integration with the Hugging Face ecosystem.
* Clarifying the model description to accurately reflect its purpose.

README.md

@@ -1,16 +1,17 @@
 ---
 base_model: google/gemma-2-9b-it
-library_name: peft
-license: cc-by-nc-4.0
 language:
 - uk
+library_name: transformers
+license: cc-by-nc-4.0
+pipeline_tag: text-generation
 ---
 
 # Model Card for Model ID
 
 <!-- Provide a quick summary of what the model is/does. -->
 
-Presented in [Empowering Smaller Models: Tuning LLaMA and Gemma with Chain-of-Thought for Ukrainian Exam Tasks (arXiv:2503.13988)](https://arxiv.org/abs/2503.13988)
+This model, presented in [Empowering Smaller Models: Tuning LLaMA and Gemma with Chain-of-Thought for Ukrainian Exam Tasks (arXiv:2503.13988)](https://arxiv.org/abs/2503.13988), is a PEFT 4-bit quantized version of `google/gemma-2-9b-it`. It's fine-tuned on Ukrainian language and literature tasks from the ZNO (EIE) & NMT datasets.  The model is designed to generate step-by-step solutions to these tasks.
 
 PEFT 4bit tuning of `google/gemma-2-9b-it` on Ukrainian language and literature tasks of ZNO (EIE) & NMT dataset to generate step-by-step solution:
 
@@ -45,22 +46,22 @@ PEFT 4bit tuning of `google/gemma-2-9b-it` on Ukrainian language and literature
 
 <!-- Provide a longer summary of what this model is. -->
 
-
+This model is a 4-bit quantized LLaMA based model, fine-tuned for Ukrainian exam tasks.  It uses the PEFT technique for efficient parameter-efficient fine-tuning. More details about the specific architecture and training are needed.
 
 - **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]
+- **Language(s) (NLP):** Ukrainian
 - **License:** [More Information Needed]
-- **Finetuned from model [optional]:** [More Information Needed]
+- **Finetuned from model [optional]:** google/gemma-2-9b-it
 
 ### Model Sources [optional]
 
 <!-- Provide the basic links for the model. -->
 
 - **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
+- **Paper [optional]:** [Empowering Smaller Models: Tuning LLaMA and Gemma with Chain-of-Thought for Ukrainian Exam Tasks (arXiv:2503.13988)](https://arxiv.org/abs/2503.13988)
 - **Demo [optional]:** [More Information Needed]
 
 ## Uses
@@ -227,6 +228,7 @@ Carbon emissions can be estimated using the [Machine Learning Impact calculator]
 ## Model Card Contact
 
 [More Information Needed]
+
 ### Framework versions
 
 - PEFT 0.14.0