Update Dockerfile

Dockerfile

@@ -1,17 +1,14 @@
-# Use the official Python image
-FROM python:3.10-slim
+# Use a pre-compiled official HF image for llama-cpp
+FROM ghcr.io/huggingface/llama-cpp-python-huggingface-endpoint:latest
 
-# Install system essentials
-RUN apt-get update && apt-get install -y build-essential libopenblas-dev wget && rm -rf /var/lib/apt/lists/*
+# Install downloader
+RUN pip install --no-cache-dir huggingface_hub
 
-# Install the server with a pre-compiled backend for CPU
-RUN pip install --no-cache-dir "llama-cpp-python[server]" huggingface_hub
-
-# Model details - Using Q2_K to ensure it fits in free RAM
+# Model details - Verified Filename
 ENV REPO_ID="tensorblock/WhiteRabbitNeo-2.5-Qwen-2.5-Coder-7B-GGUF"
 ENV FILENAME="WhiteRabbitNeo-2.5-Qwen-2.5-Coder-7B-Q2_K.gguf"
 
-# RUNTIME: Download and Start
-# We use --n_ctx 1024 to stay within free memory limits
+# 1. Download at runtime (Runtime doesn't timeout)
+# 2. Start server on HF port 7860
 CMD python3 -c "from huggingface_hub import hf_hub_download; hf_hub_download(repo_id='$REPO_ID', filename='$FILENAME', local_dir='.')" && \
     python3 -m llama_cpp.server --model ./$FILENAME --host 0.0.0.0 --port 7860 --n_ctx 1024 --n_threads 2