switch back to 1.7B LM (fastest at 269s, 0.6B was 936s)

Dockerfile

@@ -57,9 +57,9 @@ RUN mkdir -p /app/models /app/adapters /app/outputs
 RUN curl -fL --retry 3 --retry-delay 5 -o /app/models/acestep-v15-xl-turbo-Q4_K_M.gguf \
     "https://huggingface.co/Serveurperso/ACE-Step-1.5-GGUF/resolve/main/acestep-v15-xl-turbo-Q4_K_M.gguf"
 
-# LM 0.6B Q8_0 (~0.6GB) - fastest on CPU
-RUN curl -fL --retry 3 --retry-delay 5 -o /app/models/acestep-5Hz-lm-0.6B-Q8_0.gguf \
-    "https://huggingface.co/Serveurperso/ACE-Step-1.5-GGUF/resolve/main/acestep-5Hz-lm-0.6B-Q8_0.gguf"
+# LM 1.7B Q8_0 (~1.7GB) - best speed/quality on CPU
+RUN curl -fL --retry 3 --retry-delay 5 -o /app/models/acestep-5Hz-lm-1.7B-Q8_0.gguf \
+    "https://huggingface.co/Serveurperso/ACE-Step-1.5-GGUF/resolve/main/acestep-5Hz-lm-1.7B-Q8_0.gguf"
 
 # Text encoder Q8_0 (~0.75GB)
 RUN curl -fL --retry 3 --retry-delay 5 -o /app/models/Qwen3-Embedding-0.6B-Q8_0.gguf \