Change standard settings and revert to 8B

app.py

@@ -183,7 +183,7 @@ if is_running_on_spaces():
     # Load from Hugging Face Hub
     ckpt_path = hf_hub_download(
         repo_id="ruurd/tini_model",
-        filename="diffusion-model-3B.pth",
+        filename="diffusion-model-8B.pth",
         token=os.getenv("HF_TOKEN")
     )
 else:
@@ -206,12 +206,12 @@ demo = gr.Interface(
         gr.Slider(0.01, 5, value=0.01, step=0.01, label="Pause between iteration ↑ = longer pause"),
         gr.Slider(1.0, 20.0, value=1.0, step=0.5, label="Noise decay sharpness: ↓ = more noise in later iterations"),
         gr.Slider(0.0, 1.0, value=0.0, step=0.05, label="Clustering: ↑ = more clustered noising"),
-        gr.Slider(0.0, 1.0, value=0.2, step=0.05, label="Noise start fraction: ↑ = more noise"),
+        gr.Slider(0.0, 1.0, value=0.5, step=0.05, label="Noise start fraction: ↑ = more noise"),
         gr.Checkbox(value=False, label="Use confidence-guided noising"),
         gr.Checkbox(value=False, label="Use permanent unmasking"),
         gr.Slider(0.01, 1.0, value=0.01, step=0.01, label="Noise clipping: ↓ = more confidence guidance"),
-        gr.Slider(1, 1000, value = 100, step = 1, label = "Top-p: ↑ = more random answers"),
-        gr.Slider(0.0, 1.0, value = 0.9, step = 0.01, label = "Top-k: ↑ = more random answers")
+        gr.Slider(1, 1000, value = 3, step = 1, label = "Top-p: ↑ = more random answers"),
+        gr.Slider(0.0, 1.0, value = 1.0, step = 0.01, label = "Top-k: ↑ = more random answers")
     ],
     outputs=[gr.HTML(label="Diffusion Output")],
     title="Diffusion Language Model Chat",