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README.md

@@ -19,7 +19,7 @@ pipeline_tag: text-classification
 
 Multi-dimension **prompt quality scorer**. Given an LLM prompt, returns an overall quality score plus per-dimension scores, inferred issues, and missing information.
 
-Part of [PromptForge](https://github.com/YOUR_USER/promptModel) — local-first prompt scoring and optimization.
+Part of [PromptForge](https://github.com/arjun988/promptModel) — local-first prompt scoring and optimization.
 
 ## Model Details
 
@@ -50,7 +50,7 @@ The model also surfaces **issues** (e.g. `too_vague`, `missing_context`) and **m
 
 ### Model Sources
 
-- **Repository:** https://github.com/YOUR_USER/promptModel  
+- **Repository:** https://github.com/arjun988/promptModel  
 - **Companion model:** PromptForge-Optimizer (Qwen2.5-1.5B LoRA prompt rewriter)  
 - **Demo:** Gradio app in the PromptForge repo (`demo/app.py`)
 
@@ -97,8 +97,8 @@ pip install promptforge
 # or from source: pip install -e ".[demo]"
 
 python -m promptforge download \
-  --quality-repo YOUR_HF_USERNAME/PromptForge-Quality \
-  --optimizer-repo YOUR_HF_USERNAME/PromptForge-Optimizer
+  --quality-repo ArjunShukla/PromptForge-Quality \
+  --optimizer-repo ArjunShukla/PromptForge-Optimizer
 
 python -m promptforge analyze "Build me a website"
 ```
@@ -106,7 +106,7 @@ python -m promptforge analyze "Build me a website"
 ```python
 from promptforge import PromptForge
 
-pf = PromptForge(quality_model_path="YOUR_HF_USERNAME/PromptForge-Quality")
+pf = PromptForge(quality_model_path="ArjunShukla/PromptForge-Quality")
 print(pf.analyze("Make an app."))
 # → quality_score, dimensions, issues, missing_information
 ```
@@ -117,8 +117,8 @@ print(pf.analyze("Make an app."))
 from promptforge import PromptForge
 
 pf = PromptForge(
-    quality_model_path="YOUR_HF_USERNAME/PromptForge-Quality",
-    optimizer_model_path="YOUR_HF_USERNAME/PromptForge-Optimizer",
+    quality_model_path="ArjunShukla/PromptForge-Quality",
+    optimizer_model_path="ArjunShukla/PromptForge-Optimizer",
 )
 result = pf.run("Make an app about social media like facebook and stuff")
 print(result["before"]["quality_score"], "→", result["after"]["quality_score"])
@@ -191,7 +191,7 @@ ModernBERT encoder with dual / multi regression heads predicting continuous qual
   title = {PromptForge-Quality},
   author = {PromptForge Contributors},
   year = {2026},
-  url = {https://huggingface.co/YOUR_HF_USERNAME/PromptForge-Quality}
+  url = {https://huggingface.co/ArjunShukla/PromptForge-Quality}
 }
 ```