AI BriefingHugging Face Launches SafeCoder
Key point
Hugging Face has launched SafeCoder, a self-hostable code assistant built for enterprise security.
Details
Hugging Face has announced SafeCoder, an end-to-end commercial code assistant solution designed for enterprise security and compliance.
SafeCoder is not a model but a complete solution, and during training and inference, code never leaves the customer's VPC (Virtual Private Cloud). Through the Self-hosted approach, where customers install it directly on their own infrastructure, they can own a proprietary Code LLM fine-tuned on the enterprise's own code.
Built on the StarCoder family of models, SafeCoder's key features are as follows:
- Commercial safety: Trained using The Stack, an ethically sourced open source dataset.
- Inference optimization: Applies Multi-Query Attention and Flash Attention for memory efficiency and long context support.
- Security-focused design: Provides a containerized hardware-accelerated inference solution that operates within the enterprise's security environment without data leakage.
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