mradermacher/german-rag-nemo-12b-orpo-hessian-ai-gguf overview

{
  "metadata": {},
  "card_data": {
    "base_model": "avemio/German-RAG-NEMO-12B-ORPO-HESSIAN-AI",
    "datasets": [
      "avemio/German-RAG-CPT-HESSIAN-AI",
      "avemio/German-RAG-SFT-ShareGPT-HESSIAN-AI",
      "avemio/German-RAG-ORPO-ShareGPT-HESSIAN-AI",
      "VAGOsolutions/SauerkrautLM-Fermented-GER-DPO",
      "VAGOsolutions/SauerkrautLM-Fermented-Irrelevance-GER-DPO"
    ],
    "language": [
      "en",
      "de"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "mradermacher": {
      "readme_rev": 1
    },
    "quantized_by": "mradermacher",
    "tags": [
      "German",
      "RAG",
      "Retrieval",
      "Question-Answering",
      "Summarization",
      "Reasoning"
    ],
    "frontmatter": {
      "base_model": "avemio/German-RAG-NEMO-12B-ORPO-HESSIAN-AI",
      "datasets": [
        "avemio/German-RAG-CPT-HESSIAN-AI",
        "avemio/German-RAG-SFT-ShareGPT-HESSIAN-AI",
        "avemio/German-RAG-ORPO-ShareGPT-HESSIAN-AI",
        "VAGOsolutions/SauerkrautLM-Fermented-GER-DPO",
        "VAGOsolutions/SauerkrautLM-Fermented-Irrelevance-GER-DPO"
      ],
      "language": [
        "en",
        "de"
      ],
      "library_name": "transformers",
      "license": "apache-2.0",
      "mradermacher": [],
      "quantized_by": "mradermacher",
      "tags": [
        "German",
        "RAG",
        "Retrieval",
        "Question-Answering",
        "Summarization",
        "Reasoning"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About      static quants of https://huggingface.co/avemio/German-RAG-NEMO-12B-ORPO-HESSIAN-AI  ***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: avemio/German-RAG-NEMO-12B-ORPO-HESSIAN-AI\ndatasets:\n- avemio/German-RAG-CPT-HESSIAN-AI\n- avemio/German-RAG-SFT-ShareGPT-HESSIAN-AI\n- avemio/German-RAG-ORPO-ShareGPT-HESSIAN-AI\n- VAGOsolutions/SauerkrautLM-Fermented-GER-DPO\n- VAGOsolutions/SauerkrautLM-Fermented-Irrelevance-GER-DPO\nlanguage:\n- en\n- de\nlibrary_name: transformers\nlicense: apache-2.0\nmradermacher:\n  readme_rev: 1\nquantized_by: mradermacher\ntags:\n- German\n- RAG\n- Retrieval\n- Question-Answering\n- Summarization\n- Reasoning\n---\n## About\n\n<!-- ### quantize_version: 2 -->\n<!-- ### output_tensor_quantised: 1 -->\n<!-- ### convert_type: hf -->\n<!-- ### vocab_type:  -->\n<!-- ### tags:  -->\nstatic quants of https://huggingface.co/avemio/German-RAG-NEMO-12B-ORPO-HESSIAN-AI\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#German-RAG-NEMO-12B-ORPO-HESSIAN-AI-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/German-RAG-NEMO-12B-ORPO-HESSIAN-AI-GGUF/resolve/main/German-RAG-NEMO-12B-ORPO-HESSIAN-AI.Q2_K.gguf) | Q2_K | 4.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/German-RAG-NEMO-12B-ORPO-HESSIAN-AI-GGUF/resolve/main/German-RAG-NEMO-12B-ORPO-HESSIAN-AI.Q3_K_S.gguf) | Q3_K_S | 5.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/German-RAG-NEMO-12B-ORPO-HESSIAN-AI-GGUF/resolve/main/German-RAG-NEMO-12B-ORPO-HESSIAN-AI.Q3_K_M.gguf) | Q3_K_M | 6.2 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/German-RAG-NEMO-12B-ORPO-HESSIAN-AI-GGUF/resolve/main/German-RAG-NEMO-12B-ORPO-HESSIAN-AI.Q3_K_L.gguf) | Q3_K_L | 6.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/German-RAG-NEMO-12B-ORPO-HESSIAN-AI-GGUF/resolve/main/German-RAG-NEMO-12B-ORPO-HESSIAN-AI.IQ4_XS.gguf) | IQ4_XS | 6.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/German-RAG-NEMO-12B-ORPO-HESSIAN-AI-GGUF/resolve/main/German-RAG-NEMO-12B-ORPO-HESSIAN-AI.Q4_K_S.gguf) | Q4_K_S | 7.2 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/German-RAG-NEMO-12B-ORPO-HESSIAN-AI-GGUF/resolve/main/German-RAG-NEMO-12B-ORPO-HESSIAN-AI.Q4_K_M.gguf) | Q4_K_M | 7.6 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/German-RAG-NEMO-12B-ORPO-HESSIAN-AI-GGUF/resolve/main/German-RAG-NEMO-12B-ORPO-HESSIAN-AI.Q5_K_S.gguf) | Q5_K_S | 8.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/German-RAG-NEMO-12B-ORPO-HESSIAN-AI-GGUF/resolve/main/German-RAG-NEMO-12B-ORPO-HESSIAN-AI.Q5_K_M.gguf) | Q5_K_M | 8.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/German-RAG-NEMO-12B-ORPO-HESSIAN-AI-GGUF/resolve/main/German-RAG-NEMO-12B-ORPO-HESSIAN-AI.Q6_K.gguf) | Q6_K | 10.2 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/German-RAG-NEMO-12B-ORPO-HESSIAN-AI-GGUF/resolve/main/German-RAG-NEMO-12B-ORPO-HESSIAN-AI.Q8_0.gguf) | Q8_0 | 13.1 | fast, best quality |\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",
    "German",
    "RAG",
    "Retrieval",
    "Question-Answering",
    "Summarization",
    "Reasoning",
    "en",
    "de",
    "dataset:avemio/German-RAG-CPT-HESSIAN-AI",
    "dataset:avemio/German-RAG-SFT-ShareGPT-HESSIAN-AI",
    "dataset:avemio/German-RAG-ORPO-ShareGPT-HESSIAN-AI",
    "dataset:VAGOsolutions/SauerkrautLM-Fermented-GER-DPO",
    "dataset:VAGOsolutions/SauerkrautLM-Fermented-Irrelevance-GER-DPO",
    "base_model:avemio/German-RAG-NEMO-12B-ORPO-HESSIAN-AI",
    "base_model:quantized:avemio/German-RAG-NEMO-12B-ORPO-HESSIAN-AI",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 1,
  "downloads": 134,
  "gated": false,
  "private": false,
  "last_modified": "2025-07-31T19:21:11.000Z",
  "created_at": "2025-02-09T21:47:05.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}

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