mradermacher/kyro-n1-14b-chat-gguf overview

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    "base_model": "open-neo/Kyro-n1-14B",
    "language": [
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      "zh",
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    "library_name": "transformers",
    "license": "mit",
    "quantized_by": "mradermacher",
    "tags": [
      "trl",
      "Reasoning",
      "open-llm",
      "synthetic-data",
      "Deepseek-R1",
      "Qwen2.5",
      "fine-tune",
      "unsloth",
      "Conversational",
      "Agentic"
    ],
    "frontmatter": {
      "base_model": "open-neo/Kyro-n1-14B",
      "language": [
        "en",
        "zh",
        "fr",
        "es",
        "pt",
        "de",
        "it",
        "ru",
        "ja",
        "ko",
        "vi",
        "th",
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      "library_name": "transformers",
      "license": "mit",
      "quantized_by": "mradermacher",
      "tags": [
        "trl",
        "Reasoning",
        "open-llm",
        "synthetic-data",
        "Deepseek-R1",
        "Qwen2.5",
        "fine-tune",
        "unsloth",
        "Conversational",
        "Agentic"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About      static quants of https://huggingface.co/open-neo/Kyro-n1-14B  weighted/imatrix quants are available at https://huggingface.co/mradermacher/Kyro-n1-14B-Chat-i1-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: open-neo/Kyro-n1-14B\nlanguage:\n- en\n- zh\n- fr\n- es\n- pt\n- de\n- it\n- ru\n- ja\n- ko\n- vi\n- th\n- ar\n- fa\n- he\n- tr\n- cs\n- pl\n- hi\n- bn\n- ur\n- id\n- ms\n- lo\n- my\n- ceb\n- km\n- tl\n- nl\nlibrary_name: transformers\nlicense: mit\nquantized_by: mradermacher\ntags:\n- trl\n- Reasoning\n- open-llm\n- synthetic-data\n- Deepseek-R1\n- Qwen2.5\n- fine-tune\n- unsloth\n- Conversational\n- Agentic\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/open-neo/Kyro-n1-14B\n\n<!-- provided-files -->\nweighted/imatrix quants are available at https://huggingface.co/mradermacher/Kyro-n1-14B-Chat-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/Kyro-n1-14B-Chat-GGUF/resolve/main/Kyro-n1-14B-Chat.Q2_K.gguf) | Q2_K | 5.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/Kyro-n1-14B-Chat-GGUF/resolve/main/Kyro-n1-14B-Chat.Q3_K_S.gguf) | Q3_K_S | 6.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/Kyro-n1-14B-Chat-GGUF/resolve/main/Kyro-n1-14B-Chat.Q3_K_M.gguf) | Q3_K_M | 7.4 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Kyro-n1-14B-Chat-GGUF/resolve/main/Kyro-n1-14B-Chat.Q3_K_L.gguf) | Q3_K_L | 8.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/Kyro-n1-14B-Chat-GGUF/resolve/main/Kyro-n1-14B-Chat.IQ4_XS.gguf) | IQ4_XS | 8.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/Kyro-n1-14B-Chat-GGUF/resolve/main/Kyro-n1-14B-Chat.Q4_K_S.gguf) | Q4_K_S | 8.7 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Kyro-n1-14B-Chat-GGUF/resolve/main/Kyro-n1-14B-Chat.Q4_K_M.gguf) | Q4_K_M | 9.1 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Kyro-n1-14B-Chat-GGUF/resolve/main/Kyro-n1-14B-Chat.Q5_K_S.gguf) | Q5_K_S | 10.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/Kyro-n1-14B-Chat-GGUF/resolve/main/Kyro-n1-14B-Chat.Q5_K_M.gguf) | Q5_K_M | 10.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/Kyro-n1-14B-Chat-GGUF/resolve/main/Kyro-n1-14B-Chat.Q6_K.gguf) | Q6_K | 12.2 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/Kyro-n1-14B-Chat-GGUF/resolve/main/Kyro-n1-14B-Chat.Q8_0.gguf) | Q8_0 | 15.8 | 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": []
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  "tags": [
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    "gguf",
    "trl",
    "Reasoning",
    "open-llm",
    "synthetic-data",
    "Deepseek-R1",
    "Qwen2.5",
    "fine-tune",
    "unsloth",
    "Conversational",
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  "last_modified": "2025-02-14T14:06:33.000Z",
  "created_at": "2025-02-14T08:55:22.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}

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