InclusionAI 发布 Ling-3.0-tiny-singprobe 流式安全探针模型

InclusionAI inclusionAI/Ling-3.0-tiny-singprobe inclusionAI/Ling-3.0-tiny-singprobe https://huggingface.co/inclusionAI/Ling-3.0-tiny-singprobe

inclusionAI/Ling-3.0-tiny-singprobe · Hugging Face Hugging Face (https://huggingface.co/) Models (https://huggingface.co/models) Datasets (https://huggingface.co/datasets) Spaces (https://huggingface.co/spaces) Buckets new (https://huggingface.co/storage) Docs (https://huggingface.co/docs) Enterprise (https://huggingface.co/enterprise) Pricing (https://huggingface.co/pricing) Website Tasks (https://huggingface.co/tasks) HuggingChat (https://huggingface.co/chat) Collections (https://huggingface.co/collections) Languages (https://huggingface.co/languages) Organizations (https://huggingface.co/organizations) Community Blog (https://huggingface.co/blog) Posts (https://huggingface.co/posts) Daily Papers (https://huggingface.co/papers) Hardware (https://huggingface.co/hardware) Learn (https://huggingface.co/learn) Discord (https://huggingface.co/join/discord) Forum (https://discuss.huggingface.co/) GitHub (https://github.com/huggingface) Solutions Team & Enterprise (https://huggingface.co/enterprise) Hugging Face PRO (https://huggingface.co/pro) Enterprise Support (https://huggingface.co/support) Inference Providers (https://huggingface.co/inference/models) Inference Endpoints (https://huggingface.co/inference-endpoints) Storage Buckets (https://huggingface.co/storage) Log In (https://huggingface.co/login) Sign Up (https://huggingface.co/join) (https://huggingface.co/inclusionAI) inclusionAI (https://huggingface.co/inclusionAI) / Ling-3.0-tiny-singprobe (https://huggingface.co/inclusionAI/Ling-3.0-tiny-singprobe) like 4 Follow inclusionAI 2.78k Safetensors (https://huggingface.co/models?library=safetensors) sing_probe_attn (https://huggingface.co/models?other=sing_probe_attn) safety (https://huggingface.co/models?other=safety) guardrail (https://huggingface.co/models?other=guardrail) hallucination-detection (https://huggingface.co/models?other=hallucination-detection) streaming (https://huggingface.co/models?other=streaming) ling-3.0 (https://huggingface.co/models?other=ling-3.0) custom_code (https://huggingface.co/models?other=custom_code) arxiv: 2608.30703 License: mit Model card (https://huggingface.co/inclusionAI/Ling-3.0-tiny-singprobe) Files Files and versions xet (https://huggingface.co/inclusionAI/Ling-3.0-tiny-singprobe/tree/main) Community (https://huggingface.co/inclusionAI/Ling-3.0-tiny-singprobe/discussions) Copy to bucket new Ling3-SingProbe (https://huggingface.co/inclusionAI/Ling-3.0-tiny-singprobe#ling3-singprobe) Model Description (https://huggingface.co/inclusionAI/Ling-3.0-tiny-singprobe#model-description) Evaluation (https://huggingface.co/inclusionAI/Ling-3.0-tiny-singprobe#evaluation) Quick Start (https://huggingface.co/inclusionAI/Ling-3.0-tiny-singprobe#quick-start) Citation (https://huggingface.co/inclusionAI/Ling-3.0-tiny-singprobe#citation) (https://huggingface.co/inclusionAI/Ling-3.0-tiny-singprobe#ling3-singprobe) Ling3-SingProbe English | 中文 (https://huggingface.co/inclusionAI/Ling-3.0-tiny-singprobe/blob/main/README_CN.md) (https://huggingface.co/inclusionAI/Ling-3.0-tiny-singprobe#model-description) Model Description SingProbe is an intrinsic streaming guardrail built on inclusionAI/Ling-3.0-tiny. Rather than running a separate safety model, this lightweight probe reuses the base model's hidden states during generation to score, at every token, query intent, response unsafety, and hallucination risk. It adds less than 0.5% decode-time overhead. Base model Probe parameters Tapped layers Outputs inclusionAI/Ling-3.0-tiny-singprobe 3.22M [6, 14, 22] 8 intents + unsafe + hallucination See the technical report (https://arxiv.org/abs/2608.30703) for methodology and complete results; implementation details are available at inclusionAI/SingProbe (https://github.com/inclusionAI/SingProbe) . (https://huggingface.co/inclusionAI/Ling-3.0-tiny-singprobe#evaluation) Evaluation Higher is better for every metric. Results are averages over the benchmark su