mradermacher/llama-primus-nemotron-70b-base-gguf overview

{
  "metadata": {},
  "card_data": {
    "base_model": "trend-cybertron/Llama-Primus-Nemotron-70B-Base",
    "datasets": [
      "trend-cybertron/Primus-Nemotron-CC",
      "trendmicro-ailab/Primus-FineWeb"
    ],
    "extra_gated_fields": {
      "Affiliation": "text",
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      "I want to use this model for": {
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            "label": "Other",
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      "geo": "ip_location"
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    "library_name": "transformers",
    "license": "mit",
    "mradermacher": {
      "readme_rev": 1
    },
    "quantized_by": "mradermacher",
    "tags": [
      "cybersecurity"
    ],
    "frontmatter": {
      "base_model": "trend-cybertron/Llama-Primus-Nemotron-70B-Base",
      "datasets": [
        "trend-cybertron/Primus-Nemotron-CC",
        "trendmicro-ailab/Primus-FineWeb"
      ],
      "extra_gated_fields": [
        "Research",
        "Commercial",
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        "Research graduate",
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        "Cybersecurity researcher",
        "Reporter",
        "Other"
      ],
      "language": [
        "en",
        "ja"
      ],
      "library_name": "transformers",
      "license": "mit",
      "mradermacher": [],
      "quantized_by": "mradermacher",
      "tags": [
        "cybersecurity"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About      static quants of https://huggingface.co/trend-cybertron/Llama-Primus-Nemotron-70B-Base  ***For a convenient overview and download list, visit our model page for this model.*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/Llama-Primus-Nemotron-70B-Base-i1-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: trend-cybertron/Llama-Primus-Nemotron-70B-Base\ndatasets:\n- trend-cybertron/Primus-Nemotron-CC\n- trendmicro-ailab/Primus-FineWeb\nextra_gated_fields:\n  Affiliation: text\n  Country: country\n  I want to use this model for:\n    options:\n    - Research\n    - Commercial\n    - label: Other\n      value: other\n    type: select\n  Job title:\n    options:\n    - Student\n    - Research graduate\n    - AI researcher\n    - AI developer/engineer\n    - Cybersecurity researcher\n    - Reporter\n    - Other\n    type: select\n  geo: ip_location\nlanguage:\n- en\n- ja\nlibrary_name: transformers\nlicense: mit\nmradermacher:\n  readme_rev: 1\nquantized_by: mradermacher\ntags:\n- cybersecurity\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/trend-cybertron/Llama-Primus-Nemotron-70B-Base\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#Llama-Primus-Nemotron-70B-Base-GGUF).***\n\nweighted/imatrix quants are available at https://huggingface.co/mradermacher/Llama-Primus-Nemotron-70B-Base-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/Llama-Primus-Nemotron-70B-Base-GGUF/resolve/main/Llama-Primus-Nemotron-70B-Base.Q2_K.gguf) | Q2_K | 26.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/Llama-Primus-Nemotron-70B-Base-GGUF/resolve/main/Llama-Primus-Nemotron-70B-Base.Q3_K_S.gguf) | Q3_K_S | 31.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/Llama-Primus-Nemotron-70B-Base-GGUF/resolve/main/Llama-Primus-Nemotron-70B-Base.Q3_K_M.gguf) | Q3_K_M | 34.4 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Llama-Primus-Nemotron-70B-Base-GGUF/resolve/main/Llama-Primus-Nemotron-70B-Base.Q3_K_L.gguf) | Q3_K_L | 37.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/Llama-Primus-Nemotron-70B-Base-GGUF/resolve/main/Llama-Primus-Nemotron-70B-Base.IQ4_XS.gguf) | IQ4_XS | 38.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/Llama-Primus-Nemotron-70B-Base-GGUF/resolve/main/Llama-Primus-Nemotron-70B-Base.Q4_K_S.gguf) | Q4_K_S | 40.4 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Llama-Primus-Nemotron-70B-Base-GGUF/resolve/main/Llama-Primus-Nemotron-70B-Base.Q4_K_M.gguf) | Q4_K_M | 42.6 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Llama-Primus-Nemotron-70B-Base-GGUF/resolve/main/Llama-Primus-Nemotron-70B-Base.Q5_K_S.gguf) | Q5_K_S | 48.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/Llama-Primus-Nemotron-70B-Base-GGUF/resolve/main/Llama-Primus-Nemotron-70B-Base.Q5_K_M.gguf) | Q5_K_M | 50.0 |  |\n| [PART 1](https://huggingface.co/mradermacher/Llama-Primus-Nemotron-70B-Base-GGUF/resolve/main/Llama-Primus-Nemotron-70B-Base.Q6_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Llama-Primus-Nemotron-70B-Base-GGUF/resolve/main/Llama-Primus-Nemotron-70B-Base.Q6_K.gguf.part2of2) | Q6_K | 58.0 | very good quality |\n| [PART 1](https://huggingface.co/mradermacher/Llama-Primus-Nemotron-70B-Base-GGUF/resolve/main/Llama-Primus-Nemotron-70B-Base.Q8_0.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Llama-Primus-Nemotron-70B-Base-GGUF/resolve/main/Llama-Primus-Nemotron-70B-Base.Q8_0.gguf.part2of2) | Q8_0 | 75.1 | 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",
    "cybersecurity",
    "en",
    "ja",
    "dataset:trend-cybertron/Primus-Nemotron-CC",
    "dataset:trendmicro-ailab/Primus-FineWeb",
    "base_model:trend-cybertron/Llama-Primus-Nemotron-70B-Base",
    "base_model:quantized:trend-cybertron/Llama-Primus-Nemotron-70B-Base",
    "license:mit",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 0,
  "downloads": 90,
  "gated": false,
  "private": false,
  "last_modified": "2025-08-11T04:58:00.000Z",
  "created_at": "2025-04-23T01:44:03.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}

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