Add Dockerfile for containerized deployment

Dockerfile

@@ -0,0 +1,42 @@
+# syntax=docker/dockerfile:1
+# BitNet Dockerfile - CPU inference for 1-bit LLMs
+# Build: docker build -t bitnet .
+# Run: docker run --rm -it bitnet python run_inference.py -m models/BitNet-b1.58-2B-4T/ggml-model-i2_s.gguf -p "Your prompt" -cnv
+
+FROM python:3.11-slim
+
+# Set environment variables
+ENV PYTHONUNBUFFERED=1 \
+    DEBIAN_FRONTEND=noninteractive \
+    PIP_NO_CACHE_DIR=1 \
+    PIP_DISABLE_PIP_VERSION_CHECK=1
+
+# Install system dependencies
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    build-essential \
+    cmake \
+    git \
+    wget \
+    curl \
+    libomp-dev \
+    && rm -rf /var/lib/apt/lists/*
+
+# Set working directory
+WORKDIR /workspace
+
+# Clone BitNet repository (for builds from source)
+# If building from local source, copy files instead
+COPY . .
+
+# Install Python dependencies
+RUN pip install -r requirements.txt
+
+# Build the project (optional - can be done at runtime with setup_env.py)
+# This creates the native extensions needed for inference
+RUN git submodule update --init --recursive 2>/dev/null || true
+
+# Create models directory
+RUN mkdir -p models
+
+# Default command shows help
+CMD ["python", "run_inference.py", "--help"]