Create Dockerfile

Dockerfile

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+# 1. Start with a CUDA-enabled base image (Required for Unsloth to utilize GPUs properly)
+FROM nvidia/cuda:12.1.1-cudnn8-devel-ubuntu22.04
+
+# 2. Avoid interactive timezone/keyboard prompts during apt installation
+ENV DEBIAN_FRONTEND=noninteractive
+
+# 3. Install core system dependencies required by Unsloth's install.sh
+RUN apt-get update && apt-get install -y \
+    curl \
+    git \
+    python3 \
+    python3-pip \
+    python3-venv \
+    build-essential \
+    nodejs \
+    npm \
+    && rm -rf /var/lib/apt/lists/*
+
+# 4. Hugging Face Spaces require running containers as a non-root user (UID 1000)
+RUN useradd -m -u 1000 user
+USER user
+
+# 5. Set environment variables
+ENV HOME=/home/user
+# Ensure the newly installed Unsloth CLI binary is in the system PATH
+ENV PATH="$HOME/.local/bin:$PATH"
+# Point Hugging Face model cache to /data so you can use Persistent Storage without overriding the installation
+ENV HF_HOME=/data/huggingface
+
+WORKDIR $HOME
+
+# 6. Execute the official Unsloth installation script. 
+# This will download PyTorch, Unsloth, Node/Bun, and compile the frontend during the Docker build.
+RUN curl -fsSL https://unsloth.ai/install.sh | sh
+
+# 7. Expose the port we defined in our README.md
+EXPOSE 7860
+
+# 8. Start the Unsloth Studio server
+# -H 0.0.0.0 : Binds the server to all network interfaces (required for Docker/HF Spaces)
+# -p 7860    : Binds it to the Hugging Face expected port
+CMD ["unsloth", "studio", "-H", "0.0.0.0", "-p", "7860"]