Improve model card: Add pipeline_tag, library_name, and resource links

This PR enhances the model card for `Alif-1.0-8B-Instruct` by:

- Adding `pipeline_tag: text-generation` to the metadata, improving its discoverability and categorization on the Hugging Face Hub.
- Adding `library_name: transformers` to the metadata, which enables the automated "How to use" code snippet widget for `transformers`-compatible models. The `transformers` tag has been removed from the `tags` list to prevent redundancy.
- Adding prominent links to the paper ([https://huggingface.co/papers/2510.09051](https://huggingface.co/papers/2510.09051)), the GitHub repository ([https://github.com/traversaal-ai/alif-urdu-llm](https://github.com/traversaal-ai/alif-urdu-llm)), the project blog ([https://blog.traversaal.ai/announcing-alif-1-0-our-first-urdu-llm-outperforming-other-open-source-llms/](https://blog.traversaal.ai/announcing-alif-1-0-our-first-urdu-llm-outperforming-other-open-source-llms/)), and the Live Demo ([https://huggingface.co/spaces/large-traversaal/Alif-1.0-8B-Instruct](https://huggingface.co/spaces/large-traversaal/Alif-1.0-8B-Instruct)).
- Integrating the paper link into the introductory model description for immediate context.

These updates aim to make the model card more comprehensive, user-friendly, and better integrated with the Hugging Face ecosystem.

README.md

@@ -1,27 +1,29 @@
 ---
 base_model: unsloth/Meta-Llama-3.1-8B
+language:
+- en
+- ur
+license: apache-2.0
+pipeline_tag: text-generation
+library_name: transformers
 tags:
 - text-generation-inference
-- transformers
 - unsloth
 - llama
 - trl
-license: apache-2.0
-language:
-- en
-- ur
 ---
 
-
 # Model Card for Alif 1.0 8B Instruct
 
-**Alif 1.0 8B Instruct** is an open-source model with highly advanced multilingual reasoning capabilities. It utilizes human refined multilingual synthetic data paired with reasoning to enhance cultural nuance and reasoning capabilities in english and urdu languages.
+[[Paper](https://huggingface.co/papers/2510.09051)] [[Code](https://github.com/traversaal-ai/alif-urdu-llm)] [[Datasets](https://huggingface.co/datasets/large-traversaal/urdu-instruct)] [[Blog](https://blog.traversaal.ai/announcing-alif-1-0-our-first-urdu-llm-outperforming-other-open-source-llms/)] [[Live Demo](https://huggingface.co/spaces/large-traversaal/Alif-1.0-8B-Instruct)]
 
-- **Developed by:** large-traversaal
-- **License:** apache-2.0
-- **Base model:** unsloth/Meta-Llama-3.1-8B
-- **Model:** Alif-1.0-8B-Instruct
-- **Model Size:** 8 billion parameters
+**Alif 1.0 8B Instruct** is an open-source model with highly advanced multilingual reasoning capabilities. It utilizes human refined multilingual synthetic data paired with reasoning to enhance cultural nuance and reasoning capabilities in english and urdu languages. This model was presented in the paper [Alif: Advancing Urdu Large Language Models via Multilingual Synthetic Data Distillation](https://huggingface.co/papers/2510.09051).
+
+-   **Developed by:** large-traversaal
+-   **License:** apache-2.0
+-   **Base model:** unsloth/Meta-Llama-3.1-8B
+-   **Model:** Alif-1.0-8B-Instruct
+-   **Model Size:** 8 billion parameters
 
 This model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
 
@@ -103,5 +105,4 @@ We evaluated Alif 1.0 8B Instruct against Gemma 2 9B, Llama 3.1 8B, Mistral Nemo
 
 ### Model Card Contact
 
-For errors or additional questions about details in this model card, contact: contact@traversaal.ai
-
+For errors or additional questions about details in this model card, contact: contact@traversaal.ai