--- tags: - encoderfile --- # Encoderfile Models Pre-built [encoderfiles](https://github.com/mozilla-ai/encoderfile) for popular Hugging Face embedding models — self-contained executables that run as embedding servers with no Python or ML dependencies required. ## Available Models | Model | Details | |---|---| | [sentence-transformers/all-MiniLM-L6-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2/) | 384-dim, English sentence embeddings | | [deepset/deberta-v3-base-injection](https://huggingface.co/deepset/deberta-v3-base-injection) | DeBERTa-variant prompt injection classification model | | [JasperLS/deberta-v3-base-injection](https://huggingface.co/JasperLS/deberta-v3-base-injection) | DeBERTa-variant prompt injection classification model | | [JasperLS/gelectra-base-injection](https://huggingface.co/JasperLS/gelectra-base-injection) | gELECTRA-variant prompt injection classification model | | [protectai/deberta-v3-base-prompt-injection-v2](https://huggingface.co/protectai/deberta-v3-base-prompt-injection-v2) | DeBERTa-variant prompt injection classification model | | [protectai/deberta-v3-small-prompt-injection-v2](https://huggingface.co/protectai/deberta-v3-small-prompt-injection-v2) | DeBERTa-variant prompt injection classification model | | [protectai/deberta-v3-base-prompt-injection](https://huggingface.co/protectai/deberta-v3-base-prompt-injection) | DeBERTa-variant prompt injection classification model | | [protectai/distilroberta-base-rejection-v1](https://huggingface.co/protectai/distilroberta-base-rejection-v1) | DistilRoBERTa-variant prompt injection classification model | | [DuoGuard/DuoGuard-0.5B](https://huggingface.co/DuoGuard/DuoGuard-0.5B) | Content moderation model based on Qwen2.5-0.5B | More models coming soon. ## Usage Each model directory contains platform-specific binaries. Download the one for your platform, make it executable, and run: ```bash # Serve embeddings over HTTP ./all-MiniLM-L6-v2.aarch64-apple-darwin.encoderfile serve # Or infer directly from the CLI ./all-MiniLM-L6-v2.aarch64-apple-darwin.encoderfile infer "this is a test" ``` If you don't see the model you want or are using an exotic architecture, check out our guide on [Building encoderfiles](https://mozilla-ai.github.io/encoderfile/reference/building/). ## About These encoderfiles are built and published by [mozilla-ai](https://huggingface.co/mozilla-ai) using the [Encoderfile](https://github.com/mozilla-ai/encoderfile) tool. To build your own, see the [Encoderfile documentation](https://mozilla-ai.github.io/encoderfile).