Update Dockerfile

Dockerfile

@@ -18,32 +18,26 @@ RUN pip install --no-cache-dir \
 # Set the working directory
 WORKDIR /app
 
-# Download models BEFORE copying the rest of the code (to speed up rebuilds)
-# Model 1: Small (360M)
+# --- NEURAL CORE DOWNLOADS ---
+# We download all 5 models here. This is the "Heavy Lifting" part.
+# 1. Maira Lite (360M)
 RUN python3 -c "from huggingface_hub import hf_hub_download; hf_hub_download(repo_id='CyberCoder225/maira-model', filename='SmolLM2-360M-Instruct.Q4_K_M.gguf', local_dir='.')"
 
-# Model 2: Medium (1B)
-RUN python3 -c "from huggingface_hub import hf_hub_download; hf_hub_download(repo_id='bartowski/Llama-3.2-1B-Instruct-GGUF', filename='Llama-3.2-1B-Instruct-Q4_K_M.gguf', local_dir='.')"
+# 2. Maira Prime (1B)
+RUN python3 -c "from huggingface_hub import hf_hub_download(repo_id='bartowski/Llama-3.2-1B-Instruct-GGUF', filename='Llama-3.2-1B-Instruct-Q4_K_M.gguf', local_dir='.')"
 
-# ... (Keep your existing RUN pip and apt-get lines)
+# 3. Maira Logic (1.5B)
+RUN python3 -c "from huggingface_hub import hf_hub_download; hf_hub_download(repo_id='Qwen/Qwen2.5-1.5B-Instruct-GGUF', filename='qwen2.5-1.5b-instruct-q4_k_m.gguf', local_dir='.')"
 
-# 1. Original Small
-RUN python3 -c "from huggingface_hub import hf_hub_download; hf_hub_download(repo_id='CyberCoder225/maira-model', filename='SmolLM2-360M-Instruct.Q4_K_M.gguf', local_dir='.')"
-# 2. Existing Medium (Llama 3.2)
-RUN python3 -c "from huggingface_hub import hf_hub_download; hf_hub_download(repo_id='bartowski/Llama-3.2-1B-Instruct-GGUF', filename='Llama-3.2-1B-Instruct-Q4_K_M.gguf', local_dir='.')"
+# 4. Maira Chat (500M) - FIXED FILENAME CASE
+RUN python3 -c "from huggingface_hub import hf_hub_download; hf_hub_download(repo_id='h2oai/h2o-danube3-500m-chat-GGUF', filename='h2o-danube3-500m-chat-Q4_K_M.gguf', local_dir='.')"
 
-# --- NEW FEMALE PERSONA MODELS ---
-# 3. Qwen 2.5 1.5B (Very smart/balanced)
-RUN python3 -c "from huggingface_hub import hf_hub_download; hf_hub_download(repo_id='Qwen/Qwen2.5-1.5B-Instruct-GGUF', filename='qwen2.5-1.5b-instruct-q4_k_m.gguf', local_dir='.')"
-# 4. Danube 3 (Fast and chatty)
-RUN python3 -c "from huggingface_hub import hf_hub_download; hf_hub_download(repo_id='h2oai/h2o-danube3-500m-chat-GGUF', filename='h2o-danube3-500m-chat-v1-q4_k_m.gguf', local_dir='.')"
-# 5. StableLM 2 (Elegant/Creative)
+# 5. Maira Art (1.6B)
 RUN python3 -c "from huggingface_hub import hf_hub_download; hf_hub_download(repo_id='stabilityai/stablelm-2-zephyr-1_6b-gguf', filename='stablelm-2-zephyr-1_6b-Q4_K_M.gguf', local_dir='.')"
 
-# ... (rest of Dockerfile)
 # Copy your app.py and brain.py files
 COPY . .
 
 # Start the engine
 EXPOSE 7860
-CMD ["python", "app.py"]
+CMD ["python3", "app.py"]