mradermacher/luminaura-rp-13b-gguf overview

{
  "metadata": {},
  "card_data": {
    "base_model": "Ppoyaa/Luminaura-RP-13B",
    "datasets": [
      "databricks/databricks-dolly-15k",
      "Open-Orca/OpenOrca",
      "PygmalionAI/PIPPA",
      "LDJnr/Pure-Dove",
      "Norquinal/claude_multiround_chat_30k",
      "Heralax/Augmental-Dataset",
      "Intel/orca_dpo_pairs",
      "NobodyExistsOnTheInternet/ToxicDPOqa",
      "lemonilia/LimaRP",
      "HuggingFaceH4/no_robots",
      "Undi95/toxic-dpo-v0.1-NoWarning",
      "amilkov/literotica"
    ],
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "quantized_by": "mradermacher",
    "tags": [
      "merge",
      "mergekit",
      "lazymergekit"
    ],
    "frontmatter": {
      "base_model": "Ppoyaa/Luminaura-RP-13B",
      "datasets": [
        "databricks/databricks-dolly-15k",
        "Open-Orca/OpenOrca",
        "PygmalionAI/PIPPA",
        "LDJnr/Pure-Dove",
        "Norquinal/claude_multiround_chat_30k",
        "Heralax/Augmental-Dataset",
        "Intel/orca_dpo_pairs",
        "NobodyExistsOnTheInternet/ToxicDPOqa",
        "lemonilia/LimaRP",
        "HuggingFaceH4/no_robots",
        "Undi95/toxic-dpo-v0.1-NoWarning",
        "amilkov/literotica"
      ],
      "language": [
        "en"
      ],
      "library_name": "transformers",
      "license": "apache-2.0",
      "quantized_by": "mradermacher",
      "tags": [
        "merge",
        "mergekit",
        "lazymergekit"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About     static quants of https://huggingface.co/Ppoyaa/Luminaura-RP-13B  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: Ppoyaa/Luminaura-RP-13B\ndatasets:\n- databricks/databricks-dolly-15k\n- Open-Orca/OpenOrca\n- PygmalionAI/PIPPA\n- LDJnr/Pure-Dove\n- Norquinal/claude_multiround_chat_30k\n- Heralax/Augmental-Dataset\n- Intel/orca_dpo_pairs\n- NobodyExistsOnTheInternet/ToxicDPOqa\n- lemonilia/LimaRP\n- HuggingFaceH4/no_robots\n- Undi95/toxic-dpo-v0.1-NoWarning\n- amilkov/literotica\nlanguage:\n- en\nlibrary_name: transformers\nlicense: apache-2.0\nquantized_by: mradermacher\ntags:\n- merge\n- mergekit\n- lazymergekit\n---\n## About\n\n<!-- ### quantize_version: 2 -->\n<!-- ### output_tensor_quantised: 1 -->\n<!-- ### convert_type: hf -->\n<!-- ### vocab_type:  -->\nstatic quants of https://huggingface.co/Ppoyaa/Luminaura-RP-13B\n\n<!-- provided-files -->\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/Luminaura-RP-13B-GGUF/resolve/main/Luminaura-RP-13B.Q2_K.gguf) | Q2_K | 5.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/Luminaura-RP-13B-GGUF/resolve/main/Luminaura-RP-13B.IQ3_XS.gguf) | IQ3_XS | 5.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/Luminaura-RP-13B-GGUF/resolve/main/Luminaura-RP-13B.IQ3_S.gguf) | IQ3_S | 5.8 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/Luminaura-RP-13B-GGUF/resolve/main/Luminaura-RP-13B.Q3_K_S.gguf) | Q3_K_S | 5.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/Luminaura-RP-13B-GGUF/resolve/main/Luminaura-RP-13B.IQ3_M.gguf) | IQ3_M | 6.1 |  |\n| [GGUF](https://huggingface.co/mradermacher/Luminaura-RP-13B-GGUF/resolve/main/Luminaura-RP-13B.Q3_K_M.gguf) | Q3_K_M | 6.4 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Luminaura-RP-13B-GGUF/resolve/main/Luminaura-RP-13B.Q3_K_L.gguf) | Q3_K_L | 7.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/Luminaura-RP-13B-GGUF/resolve/main/Luminaura-RP-13B.IQ4_XS.gguf) | IQ4_XS | 7.1 |  |\n| [GGUF](https://huggingface.co/mradermacher/Luminaura-RP-13B-GGUF/resolve/main/Luminaura-RP-13B.Q4_K_S.gguf) | Q4_K_S | 7.5 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Luminaura-RP-13B-GGUF/resolve/main/Luminaura-RP-13B.Q4_K_M.gguf) | Q4_K_M | 8.0 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Luminaura-RP-13B-GGUF/resolve/main/Luminaura-RP-13B.Q5_K_S.gguf) | Q5_K_S | 9.1 |  |\n| [GGUF](https://huggingface.co/mradermacher/Luminaura-RP-13B-GGUF/resolve/main/Luminaura-RP-13B.Q5_K_M.gguf) | Q5_K_M | 9.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/Luminaura-RP-13B-GGUF/resolve/main/Luminaura-RP-13B.Q6_K.gguf) | Q6_K | 10.8 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/Luminaura-RP-13B-GGUF/resolve/main/Luminaura-RP-13B.Q8_0.gguf) | Q8_0 | 13.9 | 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",
    "merge",
    "mergekit",
    "lazymergekit",
    "en",
    "dataset:databricks/databricks-dolly-15k",
    "dataset:Open-Orca/OpenOrca",
    "dataset:PygmalionAI/PIPPA",
    "dataset:LDJnr/Pure-Dove",
    "dataset:Norquinal/claude_multiround_chat_30k",
    "dataset:Heralax/Augmental-Dataset",
    "dataset:Intel/orca_dpo_pairs",
    "dataset:NobodyExistsOnTheInternet/ToxicDPOqa",
    "dataset:lemonilia/LimaRP",
    "dataset:HuggingFaceH4/no_robots",
    "dataset:Undi95/toxic-dpo-v0.1-NoWarning",
    "dataset:amilkov/literotica",
    "base_model:Ppoyaa/Luminaura-RP-13B",
    "base_model:quantized:Ppoyaa/Luminaura-RP-13B",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us"
  ],
  "likes": 1,
  "downloads": 308,
  "gated": false,
  "private": false,
  "last_modified": "2024-05-16T23:18:13.000Z",
  "created_at": "2024-05-16T22:32:34.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}

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  "id": "mradermacher/Luminaura-RP-13B-GGUF",
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  "createdAt": "2024-05-16T22:32:34.000Z",
  "lastModified": "2024-05-16T23:18:13.000Z",
  "author": "mradermacher",
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