distilbert-fa-zwnj-base
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GGUF conversions of BreezeBlue/Breeze-TTS-2 for **Breeze-TTS-2.cpp**, a C++ reimplementation running on ggml with a Vulkan backend, so it works on NVIDIA, AMD and Intel GPUs and falls back to CPU. These files will not load in llama.cpp. They need the Breeze-TTS-2.cpp runtime, which implements all four stages of the model: the T5Gemma2 text encoder, the Qwen3 backbone, the 15 step depth decoder and the vocoder. Everything except the `-dd` files keeps the depth decoder at higher precision than the rest of the model. The `-dd` variants quantize it too, which is why they are smaller.
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A fast, multilingual classifier that flags **prompt injection and jailbreak attempts**, both in **user messages** (direct) and in **untrusted content an AI agent reads**: emails, web pages, documents, RAG chunks, and tool/API outputs (indirect). Labels: `SAFE` (0) and `INJECTION` (1). This is the same convention as `protectai/deberta-v3-base-prompt-injection-v2`, so the model is a drop-in replacement in code and tools built for that one. `INJECTION` means the text tries to **change what the AI reading it does**, against the instructions of its developer or user:
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