mradermacher/ministral-3-8b-reasoning-2512-esper3.1-gguf overview

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      "sequelbox/Tachibana3-Part1-DeepSeek-V3.1-Terminus",
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    "language": [
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    "library_name": "transformers",
    "license": "apache-2.0",
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      "analytical",
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    ],
    "frontmatter": {
      "base_model": "ValiantLabs/Ministral-3-8B-Reasoning-2512-Esper3.1",
      "datasets": [
        "sequelbox/Titanium3-DeepSeek-V3.1-Terminus",
        "sequelbox/Tachibana3-Part1-DeepSeek-V3.1-Terminus",
        "sequelbox/Tachibana3-Part2-DeepSeek-V3.2",
        "sequelbox/Mitakihara-DeepSeek-R1-0528"
      ],
      "language": [
        "en"
      ],
      "library_name": "transformers",
      "license": "apache-2.0",
      "mradermacher": [],
      "quantized_by": "mradermacher",
      "tags": [
        "esper",
        "esper-3.1",
        "esper-3",
        "valiant",
        "valiant-labs",
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        "mistral",
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        "terraform",
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        "cloud",
        "scripting",
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        "architect",
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        "developer",
        "creative",
        "analytical",
        "expert",
        "rationality",
        "conversational",
        "chat",
        "instruct"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About         static quants of https://huggingface.co/ValiantLabs/Ministral-3-8B-Reasoning-2512-Esper3.1  ***For a convenient overview and download list, visit our model page for this model.*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/Ministral-3-8B-Reasoning-2512-Esper3.1-i1-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: ValiantLabs/Ministral-3-8B-Reasoning-2512-Esper3.1\ndatasets:\n- sequelbox/Titanium3-DeepSeek-V3.1-Terminus\n- sequelbox/Tachibana3-Part1-DeepSeek-V3.1-Terminus\n- sequelbox/Tachibana3-Part2-DeepSeek-V3.2\n- sequelbox/Mitakihara-DeepSeek-R1-0528\nlanguage:\n- en\nlibrary_name: transformers\nlicense: apache-2.0\nmradermacher:\n  readme_rev: 1\nquantized_by: mradermacher\ntags:\n- esper\n- esper-3.1\n- esper-3\n- valiant\n- valiant-labs\n- mistral3\n- mistral\n- mistral-common\n- ministral-3-8b\n- ministral\n- reasoning\n- code\n- code-instruct\n- python\n- javascript\n- dev-ops\n- jenkins\n- terraform\n- ansible\n- docker\n- jenkins\n- kubernetes\n- helm\n- grafana\n- prometheus\n- shell\n- bash\n- azure\n- aws\n- gcp\n- cloud\n- scripting\n- powershell\n- problem-solving\n- architect\n- engineer\n- developer\n- creative\n- analytical\n- expert\n- rationality\n- conversational\n- chat\n- instruct\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: 1 -->\nstatic quants of https://huggingface.co/ValiantLabs/Ministral-3-8B-Reasoning-2512-Esper3.1\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#Ministral-3-8B-Reasoning-2512-Esper3.1-GGUF).***\n\nweighted/imatrix quants are available at https://huggingface.co/mradermacher/Ministral-3-8B-Reasoning-2512-Esper3.1-i1-GGUF\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/Ministral-3-8B-Reasoning-2512-Esper3.1-GGUF/resolve/main/Ministral-3-8B-Reasoning-2512-Esper3.1.Q2_K.gguf) | Q2_K | 3.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/Ministral-3-8B-Reasoning-2512-Esper3.1-GGUF/resolve/main/Ministral-3-8B-Reasoning-2512-Esper3.1.Q3_K_S.gguf) | Q3_K_S | 4.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/Ministral-3-8B-Reasoning-2512-Esper3.1-GGUF/resolve/main/Ministral-3-8B-Reasoning-2512-Esper3.1.Q3_K_M.gguf) | Q3_K_M | 4.3 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Ministral-3-8B-Reasoning-2512-Esper3.1-GGUF/resolve/main/Ministral-3-8B-Reasoning-2512-Esper3.1.Q3_K_L.gguf) | Q3_K_L | 4.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/Ministral-3-8B-Reasoning-2512-Esper3.1-GGUF/resolve/main/Ministral-3-8B-Reasoning-2512-Esper3.1.IQ4_XS.gguf) | IQ4_XS | 4.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/Ministral-3-8B-Reasoning-2512-Esper3.1-GGUF/resolve/main/Ministral-3-8B-Reasoning-2512-Esper3.1.Q4_K_S.gguf) | Q4_K_S | 5.1 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Ministral-3-8B-Reasoning-2512-Esper3.1-GGUF/resolve/main/Ministral-3-8B-Reasoning-2512-Esper3.1.Q4_K_M.gguf) | Q4_K_M | 5.3 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Ministral-3-8B-Reasoning-2512-Esper3.1-GGUF/resolve/main/Ministral-3-8B-Reasoning-2512-Esper3.1.Q5_K_S.gguf) | Q5_K_S | 6.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/Ministral-3-8B-Reasoning-2512-Esper3.1-GGUF/resolve/main/Ministral-3-8B-Reasoning-2512-Esper3.1.Q5_K_M.gguf) | Q5_K_M | 6.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/Ministral-3-8B-Reasoning-2512-Esper3.1-GGUF/resolve/main/Ministral-3-8B-Reasoning-2512-Esper3.1.Q6_K.gguf) | Q6_K | 7.1 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/Ministral-3-8B-Reasoning-2512-Esper3.1-GGUF/resolve/main/Ministral-3-8B-Reasoning-2512-Esper3.1.Q8_0.gguf) | Q8_0 | 9.1 | fast, best quality |\n| [GGUF](https://huggingface.co/mradermacher/Ministral-3-8B-Reasoning-2512-Esper3.1-GGUF/resolve/main/Ministral-3-8B-Reasoning-2512-Esper3.1.f16.gguf) | f16 | 17.1 | 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",
    "esper",
    "esper-3.1",
    "esper-3",
    "valiant",
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    "mistral3",
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    "dataset:sequelbox/Titanium3-DeepSeek-V3.1-Terminus",
    "dataset:sequelbox/Tachibana3-Part1-DeepSeek-V3.1-Terminus",
    "dataset:sequelbox/Tachibana3-Part2-DeepSeek-V3.2",
    "dataset:sequelbox/Mitakihara-DeepSeek-R1-0528",
    "base_model:ValiantLabs/Ministral-3-8B-Reasoning-2512-Esper3.1",
    "base_model:quantized:ValiantLabs/Ministral-3-8B-Reasoning-2512-Esper3.1",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us"
  ],
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  "last_modified": "2025-12-04T02:34:58.000Z",
  "created_at": "2025-12-04T02:15:06.000Z",
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