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inclusionAI releases SingProbe streaming safety probes for Qwen and GLM Flash models

2 articles1 sourcesince Oct 27Last article

Overview

AISummary of 2 articles

inclusionAI releases SingProbe, a lightweight streaming guardrail that scores query intent, response unsafety, and hallucination risk at every generated token using the base model's hidden states.

Two checkpoints are on Hugging Face: a 5.18M-parameter probe for Qwen/Qwen3.8-Flash-Next and an 8.13M-parameter probe for zai-org/GLM-5.3-Flash. The Qwen probe adds less than 0.5% decode-time overhead and scores 0.8714 F1 on response safety classification across eight benchmarks, against 0.8604 for Qwen3Guard-Gen-8B-strict, according to inclusionAI. The GLM probe reads hidden states from layers 14, 29, and 43, and its model card reports a 0.02% benign-response false-positive rate averaged across five datasets. Each probe must be paired with its exact base model, and both load by Hugging Face ID in SGLang or vLLM, with training code at inclusionAI/SingProbe.

Written by AI from the articles below · updated Oct 27, 2:28 AM ET

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Developments

2 developments

  1. Oct 27, 12:47 AM ET · 1 article
    inclusionAI releases SingProbe streaming guardrail probe for GLM-5.3-Flash on Hugging Face
    inclusionAI (Ant Ling) · new models on Hugging Face: inclusionAI releases GLM-5.3-Flash-singprobe, a streaming safety probe for GLM-5.3-Flash
  2. Oct 27, 12:46 AM ET · 1 article
    inclusionAI releases SingProbe guardrail probe for Qwen3.8-Flash-Next on Hugging Face
    inclusionAI (Ant Ling) · new models on Hugging Face: inclusionAI releases SingProbe, a lightweight streaming guardrail for Qwen3.8-Flash-Next

Article timeline

The articles in this story. Times are ET.

Oct 27
  1. inclusionAI (Ant Ling) · new models on Hugging FaceOfficial
    inclusionAI releases GLM-5.3-Flash-singprobe, a streaming safety probe for GLM-5.3-Flash

    AIinclusionAI releases GLM-5.3-Flash-singprobe, an 8.13M-parameter probe built on zai-org/GLM-5.3-Flash that scores query intent, response unsafety, and hallucination risk at every generated token. The probe reuses the base model's hidden states from layers 14, 29, and 43 and adds less than 0.5% decode-time overhead. The model card reports a 0.02% benign-response false-positive rate averaged across five datasets, and the probe loads through SGLang or vLLM integration branches.

  2. inclusionAI (Ant Ling) · new models on Hugging FaceOfficial
    inclusionAI releases SingProbe, a lightweight streaming guardrail for Qwen3.8-Flash-Next

    AIinclusionAI releases SingProbe, a 5.18M-parameter probe on Qwen/Qwen3.8-Flash-Next that scores query intent, response unsafety, and hallucination risk at every generated token using the base model's hidden states. The probe adds less than 0.5% decode-time overhead and posts an 0.8714 F1 on response safety classification across eight benchmarks, against 0.8604 for Qwen3Guard-Gen-8B-strict. Training code is available at inclusionAI/SingProbe, and the probe loads by Hugging Face ID in SGLang or vLLM.

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