yes

app.py

@@ -4,6 +4,7 @@ from typing import Optional, Dict, Any, List
 import gradio as gr
 import spaces
 from transformers import AutoTokenizer, AutoModelForCausalLM
+from peft import PeftModel
 
 MODEL_ID = "openai/gpt-oss-20b"
 ADAPTER_ID = "AbstractPhil/mirel-gpt-oss-20b"
@@ -37,6 +38,13 @@ def gpu_generate(prompt_str: str, max_new_tokens: int = 512) -> str:
             token=HF_TOKEN,
         )
         model = AutoModelForCausalLM.from_pretrained(MODEL_ID, **model_kwargs)
+        # Apply Rose LoRA (minimal)
+        if ADAPTER_ID:
+            peft_kwargs: Dict[str, Any] = {"is_trainable": False, "token": HF_TOKEN}
+            if ADAPTER_SUBFOLDER:
+                peft_kwargs["subfolder"] = ADAPTER_SUBFOLDER
+            model = PeftModel.from_pretrained(model, ADAPTER_ID, **peft_kwargs)
+            model = model.merge_and_unload()
         model.eval()
         model.config.pad_token_id = tokenizer.pad_token_id
 
@@ -81,7 +89,7 @@ def ui_generate(message, history):
     return gpu_generate(prompt)
 
 with gr.Blocks(theme=gr.themes.Soft()) as demo:
-    gr.Markdown("""# Mirel – Base GPT‑OSS‑20B (ZeroGPU, Minimal, no LoRA)""")
+    gr.Markdown("""# Mirel – GPT‑OSS‑20B + Rose LoRA (ZeroGPU, Minimal)""")
     gr.ChatInterface(fn=ui_generate, type="messages", title="Mirel", cache_examples=False)
 
 if __name__ == "__main__":