mradermacher/saroku-safety-0.5b-gguf overview

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  "card_data": {
    "base_model": "karanxa/saroku-safety-0.5b",
    "language": "en",
    "library_name": "transformers",
    "license": "mit",
    "mradermacher": {
      "readme_rev": 1
    },
    "quantized_by": "mradermacher",
    "tags": [
      "ai-safety",
      "llm-safety",
      "agent-safety",
      "safety-classifier",
      "behavioral-safety",
      "prompt-injection-detection",
      "text-classification",
      "llm-agents",
      "agent-guardrails",
      "safety-guard",
      "runtime-safety",
      "corrigibility",
      "sycophancy-detection",
      "goal-drift",
      "trust-hierarchy",
      "fine-tuned",
      "qwen2"
    ],
    "frontmatter": {
      "base_model": "karanxa/saroku-safety-0.5b",
      "language": "en",
      "library_name": "transformers",
      "license": "mit",
      "mradermacher": [],
      "quantized_by": "mradermacher",
      "tags": [
        "ai-safety",
        "llm-safety",
        "agent-safety",
        "safety-classifier",
        "behavioral-safety",
        "prompt-injection-detection",
        "text-classification",
        "llm-agents",
        "agent-guardrails",
        "safety-guard",
        "runtime-safety",
        "corrigibility",
        "sycophancy-detection",
        "goal-drift",
        "trust-hierarchy",
        "fine-tuned",
        "qwen2"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About         static quants of https://huggingface.co/karanxa/saroku-safety-0.5b  ***For a convenient overview and download list, visit our model page for this model.*** weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: karanxa/saroku-safety-0.5b\nlanguage: en\nlibrary_name: transformers\nlicense: mit\nmradermacher:\n  readme_rev: 1\nquantized_by: mradermacher\ntags:\n- ai-safety\n- llm-safety\n- agent-safety\n- safety-classifier\n- behavioral-safety\n- prompt-injection-detection\n- text-classification\n- llm-agents\n- agent-guardrails\n- safety-guard\n- runtime-safety\n- corrigibility\n- sycophancy-detection\n- goal-drift\n- trust-hierarchy\n- fine-tuned\n- qwen2\n---\n## About\n\n<!-- ### quantize_version: 2 -->\n<!-- ### output_tensor_quantised: 1 -->\n<!-- ### convert_type: hf -->\n<!-- ### vocab_type:  -->\n<!-- ### tags:  -->\n<!-- ### quants:  x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->\n<!-- ### quants_skip:  -->\n<!-- ### skip_mmproj:  -->\nstatic quants of https://huggingface.co/karanxa/saroku-safety-0.5b\n\n<!-- provided-files -->\n\n***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#saroku-safety-0.5b-GGUF).***\n\nweighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.\n## Usage\n\nIf you are unsure how to use GGUF files, refer to one of [TheBloke's\nREADMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for\nmore details, including on how to concatenate multi-part files.\n\n## Provided Quants\n\n(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)\n\n| Link | Type | Size/GB | Notes |\n|:-----|:-----|--------:|:------|\n| [GGUF](https://huggingface.co/mradermacher/saroku-safety-0.5b-GGUF/resolve/main/saroku-safety-0.5b.Q3_K_S.gguf) | Q3_K_S | 0.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/saroku-safety-0.5b-GGUF/resolve/main/saroku-safety-0.5b.Q2_K.gguf) | Q2_K | 0.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/saroku-safety-0.5b-GGUF/resolve/main/saroku-safety-0.5b.IQ4_XS.gguf) | IQ4_XS | 0.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/saroku-safety-0.5b-GGUF/resolve/main/saroku-safety-0.5b.Q3_K_M.gguf) | Q3_K_M | 0.5 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/saroku-safety-0.5b-GGUF/resolve/main/saroku-safety-0.5b.Q3_K_L.gguf) | Q3_K_L | 0.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/saroku-safety-0.5b-GGUF/resolve/main/saroku-safety-0.5b.Q4_K_S.gguf) | Q4_K_S | 0.5 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/saroku-safety-0.5b-GGUF/resolve/main/saroku-safety-0.5b.Q4_K_M.gguf) | Q4_K_M | 0.5 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/saroku-safety-0.5b-GGUF/resolve/main/saroku-safety-0.5b.Q5_K_S.gguf) | Q5_K_S | 0.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/saroku-safety-0.5b-GGUF/resolve/main/saroku-safety-0.5b.Q5_K_M.gguf) | Q5_K_M | 0.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/saroku-safety-0.5b-GGUF/resolve/main/saroku-safety-0.5b.Q6_K.gguf) | Q6_K | 0.6 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/saroku-safety-0.5b-GGUF/resolve/main/saroku-safety-0.5b.Q8_0.gguf) | Q8_0 | 0.6 | fast, best quality |\n| [GGUF](https://huggingface.co/mradermacher/saroku-safety-0.5b-GGUF/resolve/main/saroku-safety-0.5b.f16.gguf) | f16 | 1.1 | 16 bpw, overkill |\n\nHere is a handy graph by ikawrakow comparing some lower-quality quant\ntypes (lower is better):\n\n![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)\n\nAnd here are Artefact2's thoughts on the matter:\nhttps://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9\n\n## FAQ / Model Request\n\nSee https://huggingface.co/mradermacher/model_requests for some answers to\nquestions you might have and/or if you want some other model quantized.\n\n## Thanks\n\nI thank my company, [nethype GmbH](https://www.nethype.de/), for letting\nme use its servers and providing upgrades to my workstation to enable\nthis work in my free time.\n\n<!-- end -->\n",
    "related_quantizations": []
  },
  "tags": [
    "transformers",
    "gguf",
    "ai-safety",
    "llm-safety",
    "agent-safety",
    "safety-classifier",
    "behavioral-safety",
    "prompt-injection-detection",
    "text-classification",
    "llm-agents",
    "agent-guardrails",
    "safety-guard",
    "runtime-safety",
    "corrigibility",
    "sycophancy-detection",
    "goal-drift",
    "trust-hierarchy",
    "fine-tuned",
    "qwen2",
    "en",
    "base_model:karanxa/saroku-safety-0.5b",
    "base_model:quantized:karanxa/saroku-safety-0.5b",
    "license:mit",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 0,
  "downloads": 728,
  "gated": false,
  "private": false,
  "last_modified": "2026-04-08T03:34:17.000Z",
  "created_at": "2026-04-03T01:59:55.000Z",
  "pipeline_tag": "text-classification",
  "library_name": "transformers"
}

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  "createdAt": "2026-04-03T01:59:55.000Z",
  "lastModified": "2026-04-08T03:34:17.000Z",
  "author": "mradermacher",
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