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README.md

@@ -1,3 +1,39 @@
+---
+language:
+  - en
+  - hi
+license: apache-2.0
+library_name: transformers
+tags:
+  - qwen
+  - lora
+  - indian-law
+  - legal-ai
+  - finetune
+datasets:
+  - viber1/indian-law-dataset
+model-index:
+  - name: JurisQwen
+    results:
+      - task:
+          type: text-generation
+          name: Legal Text Generation
+        dataset:
+          name: Indian Law Dataset
+          type: viber1/indian-law-dataset
+        metrics:
+          - name: Training Loss
+            type: loss
+            value: "N/A"
+base_model: Qwen/Qwen2.5-7B
+inference:
+  parameters:
+    temperature: 0.7
+    top_p: 0.9
+    repetition_penalty: 1.1
+    max_new_tokens: 512
+---
+
 # JurisQwen: Legal Domain Fine-tuned Qwen2.5-7B Model
 
 ## Overview
@@ -6,11 +42,11 @@ JurisQwen is a specialized legal domain language model based on Qwen2.5-7B, fine
 ## Model Details
 
 ### Model Description
-- **Developed by:** [Your Name/Organization]
+- **Developed by:** Prathamesh Devadiga
 - **Base Model:** Qwen2.5-7B by Qwen
 - **Model Type:** Language Model with LoRA fine-tuning
 - **Language:** English with focus on Indian legal terminology
-- **License:** [Specify License - inherited from Qwen2.5 or your custom license]
+- **License:** Apache-2.0
 - **Finetuned from model:** Qwen/Qwen2.5-7B
 - **Framework:** PEFT 0.15.1 with Unsloth optimization
 
@@ -130,10 +166,10 @@ If you use this model in your research, please cite:
 
 ```
 @software{JurisQwen,
-  author = {[Prathamesh Devadiga]},
+  author = {Prathamesh Devadiga},
   title = {JurisQwen: Indian Legal Domain Fine-tuned Qwen2.5-7B Model},
   year = {2025},
-  url = {[https://github.com/devadigapratham/JurisQwen]}
+  url = {https://github.com/devadigapratham/JurisQwen}
 }
 ```