richarderkhov/kas1o_-_suzhidixia-7b-gguf overview

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    "summary": "Quantization made by Richard Erkhov. Github Discord Request more models SuZhiDiXia-7B - GGUF | Name | Quant method | Size | | ---- | ---- | ---- | | SuZhiDiXia-7B.Q2_K.gguf | Q2_K | 2.89GB | | SuZhiDiXia-7B.IQ3_XS.gguf | IQ3_XS | 3.18GB | | SuZhiDiXia-7B.IQ3_S.gguf | IQ3_S | 3.32GB | | SuZhiDiXia-7B.Q3_K_S.gguf | Q3_K_S | 3.32GB | | SuZhiDiXia-7B.IQ3_M.gguf | IQ3_M | 3.48GB | | SuZhiDiXia-7B.Q3_K.gguf | Q3_K | 3.65GB | | SuZhiDiXia-7B.Q3_K_M.gguf | Q3_K_M | 3.65GB | | SuZhiDiXia-7B.Q3_K_L.gguf | Q3_K_L | 3.93GB | | SuZhiDiXia-7B.IQ4_XS.gguf | IQ4_XS | 4.02GB | | SuZhiDiXia-7B.Q4_0.gguf | Q4_0 | 4.2GB | | SuZhiDiXia-7B.IQ4_NL.gguf | IQ4_NL | 4.22GB | | SuZhiDiXia-7B.Q4_K_S.gguf | Q4_K_S | 4.23GB | | SuZhiDiXia-7B.Q4_K.gguf | Q4_K | 4.44GB | | SuZhiDiXia-7B.Q4_K_M.gguf | Q4_K_M | 4.44GB | | SuZhiDiXia-7B.Q4_1.gguf | Q4_1 | 4.62GB | | SuZhiDiXia-7B.Q5_0.gguf | Q5_0 | 5.03GB | | SuZhiDiXia-7B.Q5_K_S.gguf | Q5_K_S | 5.03GB | | SuZhiDiXia-7B.Q5_K.gguf | Q5_K | 5.15GB | | SuZhiDiXia-7B.Q5_K_M.gguf | Q5_K_M | 5.15GB | | SuZhiDiXia-7B.Q5_1.gguf | Q5_1 | 5.44GB | | SuZhiDiXia-7B.Q6_K.gguf | Q6_K | 5.91GB | | SuZhiDiXia-7B.Q8_0.gguf | Q8_0 | 7.65GB | Original model description: --- datasets: language: pipeline_tag: text-generation ---  .aa{ background-color: red; color:green; } h1{ color:red; background-color: green; }   素质超级低下的模型！ 使用优美中国话数据集微调！ 格式 使用Qwen/ChatML格式与其交流！ 底模 Qwen1.5-7B-Chat 为啥模型卡风格如此抽象? 震撼！",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "Quantization made by Richard Erkhov.\n\n[Github](https://github.com/RichardErkhov)\n\n[Discord](https://discord.gg/pvy7H8DZMG)\n\n[Request more models](https://github.com/RichardErkhov/quant_request)\n\n\nSuZhiDiXia-7B - GGUF\n- Model creator: https://huggingface.co/Kas1o/\n- Original model: https://huggingface.co/Kas1o/SuZhiDiXia-7B/\n\n\n| Name | Quant method | Size |\n| ---- | ---- | ---- |\n| [SuZhiDiXia-7B.Q2_K.gguf](https://huggingface.co/RichardErkhov/Kas1o_-_SuZhiDiXia-7B-gguf/blob/main/SuZhiDiXia-7B.Q2_K.gguf) | Q2_K | 2.89GB |\n| [SuZhiDiXia-7B.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/Kas1o_-_SuZhiDiXia-7B-gguf/blob/main/SuZhiDiXia-7B.IQ3_XS.gguf) | IQ3_XS | 3.18GB |\n| [SuZhiDiXia-7B.IQ3_S.gguf](https://huggingface.co/RichardErkhov/Kas1o_-_SuZhiDiXia-7B-gguf/blob/main/SuZhiDiXia-7B.IQ3_S.gguf) | IQ3_S | 3.32GB |\n| [SuZhiDiXia-7B.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/Kas1o_-_SuZhiDiXia-7B-gguf/blob/main/SuZhiDiXia-7B.Q3_K_S.gguf) | Q3_K_S | 3.32GB |\n| [SuZhiDiXia-7B.IQ3_M.gguf](https://huggingface.co/RichardErkhov/Kas1o_-_SuZhiDiXia-7B-gguf/blob/main/SuZhiDiXia-7B.IQ3_M.gguf) | IQ3_M | 3.48GB |\n| [SuZhiDiXia-7B.Q3_K.gguf](https://huggingface.co/RichardErkhov/Kas1o_-_SuZhiDiXia-7B-gguf/blob/main/SuZhiDiXia-7B.Q3_K.gguf) | Q3_K | 3.65GB |\n| [SuZhiDiXia-7B.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/Kas1o_-_SuZhiDiXia-7B-gguf/blob/main/SuZhiDiXia-7B.Q3_K_M.gguf) | Q3_K_M | 3.65GB |\n| [SuZhiDiXia-7B.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/Kas1o_-_SuZhiDiXia-7B-gguf/blob/main/SuZhiDiXia-7B.Q3_K_L.gguf) | Q3_K_L | 3.93GB |\n| [SuZhiDiXia-7B.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/Kas1o_-_SuZhiDiXia-7B-gguf/blob/main/SuZhiDiXia-7B.IQ4_XS.gguf) | IQ4_XS | 4.02GB |\n| [SuZhiDiXia-7B.Q4_0.gguf](https://huggingface.co/RichardErkhov/Kas1o_-_SuZhiDiXia-7B-gguf/blob/main/SuZhiDiXia-7B.Q4_0.gguf) | Q4_0 | 4.2GB |\n| [SuZhiDiXia-7B.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/Kas1o_-_SuZhiDiXia-7B-gguf/blob/main/SuZhiDiXia-7B.IQ4_NL.gguf) | IQ4_NL | 4.22GB |\n| [SuZhiDiXia-7B.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/Kas1o_-_SuZhiDiXia-7B-gguf/blob/main/SuZhiDiXia-7B.Q4_K_S.gguf) | Q4_K_S | 4.23GB |\n| [SuZhiDiXia-7B.Q4_K.gguf](https://huggingface.co/RichardErkhov/Kas1o_-_SuZhiDiXia-7B-gguf/blob/main/SuZhiDiXia-7B.Q4_K.gguf) | Q4_K | 4.44GB |\n| [SuZhiDiXia-7B.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/Kas1o_-_SuZhiDiXia-7B-gguf/blob/main/SuZhiDiXia-7B.Q4_K_M.gguf) | Q4_K_M | 4.44GB |\n| [SuZhiDiXia-7B.Q4_1.gguf](https://huggingface.co/RichardErkhov/Kas1o_-_SuZhiDiXia-7B-gguf/blob/main/SuZhiDiXia-7B.Q4_1.gguf) | Q4_1 | 4.62GB |\n| [SuZhiDiXia-7B.Q5_0.gguf](https://huggingface.co/RichardErkhov/Kas1o_-_SuZhiDiXia-7B-gguf/blob/main/SuZhiDiXia-7B.Q5_0.gguf) | Q5_0 | 5.03GB |\n| [SuZhiDiXia-7B.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/Kas1o_-_SuZhiDiXia-7B-gguf/blob/main/SuZhiDiXia-7B.Q5_K_S.gguf) | Q5_K_S | 5.03GB |\n| [SuZhiDiXia-7B.Q5_K.gguf](https://huggingface.co/RichardErkhov/Kas1o_-_SuZhiDiXia-7B-gguf/blob/main/SuZhiDiXia-7B.Q5_K.gguf) | Q5_K | 5.15GB |\n| [SuZhiDiXia-7B.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/Kas1o_-_SuZhiDiXia-7B-gguf/blob/main/SuZhiDiXia-7B.Q5_K_M.gguf) | Q5_K_M | 5.15GB |\n| [SuZhiDiXia-7B.Q5_1.gguf](https://huggingface.co/RichardErkhov/Kas1o_-_SuZhiDiXia-7B-gguf/blob/main/SuZhiDiXia-7B.Q5_1.gguf) | Q5_1 | 5.44GB |\n| [SuZhiDiXia-7B.Q6_K.gguf](https://huggingface.co/RichardErkhov/Kas1o_-_SuZhiDiXia-7B-gguf/blob/main/SuZhiDiXia-7B.Q6_K.gguf) | Q6_K | 5.91GB |\n| [SuZhiDiXia-7B.Q8_0.gguf](https://huggingface.co/RichardErkhov/Kas1o_-_SuZhiDiXia-7B-gguf/blob/main/SuZhiDiXia-7B.Q8_0.gguf) | Q8_0 | 7.65GB |\n\n\n\n\nOriginal model description:\n---\ndatasets:\n- Seikaijyu/Beautiful-Chinese\nlanguage:\n- zh\npipeline_tag: text-generation\n---\n<style>\n .aa{\n   background-color: red;\n   color:green;\n }\n  h1{\n    color:red;\n    background-color: green;\n  }\n</style>\n<div class = aa>\n  <h1>素质超级低下的模型！</h1>\n  <p>使用优美中国话数据集微调！</p>\n  <h1>格式</h1>\n  <p>使用Qwen/ChatML格式与其交流！</p>\n  <h1>底模</h1>\n  <p>Qwen1.5-7B-Chat</p>\n  <h1>为啥模型卡风格如此抽象?</h1>\n  <p>震撼！</p>\n</div>\n\n",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 0,
  "downloads": 293,
  "gated": false,
  "private": false,
  "last_modified": "2024-09-17T02:18:20.000Z",
  "created_at": "2024-09-16T20:14:50.000Z",
  "pipeline_tag": "",
  "library_name": ""
}

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  "id": "RichardErkhov/Kas1o_-_SuZhiDiXia-7B-gguf",
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  "sha": "fcedfb010b1e50bc8e85e363bce7f3269449275c",
  "createdAt": "2024-09-16T20:14:50.000Z",
  "lastModified": "2024-09-17T02:18:20.000Z",
  "author": "RichardErkhov",
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  "siblings_count": 24
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