mradermacher/apollo2-1.5b-i1-gguf overview

{
  "metadata": {},
  "card_data": {
    "base_model": "FreedomIntelligence/Apollo2-1.5B",
    "datasets": [
      "FreedomIntelligence/ApolloMoEDataset"
    ],
    "language": [
      "ar",
      "en",
      "zh",
      "ko",
      "ja",
      "mn",
      "th",
      "vi",
      "lo",
      "mg",
      "de",
      "pt",
      "es",
      "fr",
      "ru",
      "it",
      "hr",
      "gl",
      "cs",
      "co",
      "la",
      "uk",
      "bs",
      "bg",
      "eo",
      "sq",
      "da",
      "sa",
      "gn",
      "sr",
      "sk",
      "gd",
      "lb",
      "hi",
      "ku",
      "mt",
      "he",
      "ln",
      "bm",
      "sw",
      "ig",
      "rw",
      "ha"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "quantized_by": "mradermacher",
    "tags": [
      "biology",
      "medical"
    ],
    "frontmatter": {
      "base_model": "FreedomIntelligence/Apollo2-1.5B",
      "datasets": [
        "FreedomIntelligence/ApolloMoEDataset"
      ],
      "language": [
        "ar",
        "en",
        "zh",
        "ko",
        "ja",
        "mn",
        "th",
        "vi",
        "lo",
        "mg",
        "de",
        "pt",
        "es",
        "fr",
        "ru",
        "it",
        "hr",
        "gl",
        "cs",
        "co",
        "la",
        "uk",
        "bs",
        "bg",
        "eo",
        "sq",
        "da",
        "sa",
        "gn",
        "sr",
        "sk",
        "gd",
        "lb",
        "hi",
        "ku",
        "mt",
        "he",
        "ln",
        "bm",
        "sw",
        "ig",
        "rw",
        "ha"
      ],
      "library_name": "transformers",
      "license": "apache-2.0",
      "quantized_by": "mradermacher",
      "tags": [
        "biology",
        "medical"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About      weighted/imatrix quants of https://huggingface.co/FreedomIntelligence/Apollo2-1.5B  static quants are available at https://huggingface.co/mradermacher/Apollo2-1.5B-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: FreedomIntelligence/Apollo2-1.5B\ndatasets:\n- FreedomIntelligence/ApolloMoEDataset\nlanguage:\n- ar\n- en\n- zh\n- ko\n- ja\n- mn\n- th\n- vi\n- lo\n- mg\n- de\n- pt\n- es\n- fr\n- ru\n- it\n- hr\n- gl\n- cs\n- co\n- la\n- uk\n- bs\n- bg\n- eo\n- sq\n- da\n- sa\n- gn\n- sr\n- sk\n- gd\n- lb\n- hi\n- ku\n- mt\n- he\n- ln\n- bm\n- sw\n- ig\n- rw\n- ha\nlibrary_name: transformers\nlicense: apache-2.0\nquantized_by: mradermacher\ntags:\n- biology\n- medical\n---\n## About\n\n<!-- ### quantize_version: 2 -->\n<!-- ### output_tensor_quantised: 1 -->\n<!-- ### convert_type: hf -->\n<!-- ### vocab_type:  -->\n<!-- ### tags: nicoboss -->\nweighted/imatrix quants of https://huggingface.co/FreedomIntelligence/Apollo2-1.5B\n\n<!-- provided-files -->\nstatic quants are available at https://huggingface.co/mradermacher/Apollo2-1.5B-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/Apollo2-1.5B-i1-GGUF/resolve/main/Apollo2-1.5B.i1-IQ1_S.gguf) | i1-IQ1_S | 0.6 | for the desperate |\n| [GGUF](https://huggingface.co/mradermacher/Apollo2-1.5B-i1-GGUF/resolve/main/Apollo2-1.5B.i1-IQ1_M.gguf) | i1-IQ1_M | 0.6 | mostly desperate |\n| [GGUF](https://huggingface.co/mradermacher/Apollo2-1.5B-i1-GGUF/resolve/main/Apollo2-1.5B.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 0.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/Apollo2-1.5B-i1-GGUF/resolve/main/Apollo2-1.5B.i1-IQ2_XS.gguf) | i1-IQ2_XS | 0.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/Apollo2-1.5B-i1-GGUF/resolve/main/Apollo2-1.5B.i1-IQ2_S.gguf) | i1-IQ2_S | 0.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/Apollo2-1.5B-i1-GGUF/resolve/main/Apollo2-1.5B.i1-IQ2_M.gguf) | i1-IQ2_M | 0.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/Apollo2-1.5B-i1-GGUF/resolve/main/Apollo2-1.5B.i1-Q2_K_S.gguf) | i1-Q2_K_S | 0.8 | very low quality |\n| [GGUF](https://huggingface.co/mradermacher/Apollo2-1.5B-i1-GGUF/resolve/main/Apollo2-1.5B.i1-Q2_K.gguf) | i1-Q2_K | 0.9 | IQ3_XXS probably better |\n| [GGUF](https://huggingface.co/mradermacher/Apollo2-1.5B-i1-GGUF/resolve/main/Apollo2-1.5B.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 0.9 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Apollo2-1.5B-i1-GGUF/resolve/main/Apollo2-1.5B.i1-IQ3_XS.gguf) | i1-IQ3_XS | 0.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/Apollo2-1.5B-i1-GGUF/resolve/main/Apollo2-1.5B.i1-Q3_K_S.gguf) | i1-Q3_K_S | 1.0 | IQ3_XS probably better |\n| [GGUF](https://huggingface.co/mradermacher/Apollo2-1.5B-i1-GGUF/resolve/main/Apollo2-1.5B.i1-IQ3_S.gguf) | i1-IQ3_S | 1.0 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/Apollo2-1.5B-i1-GGUF/resolve/main/Apollo2-1.5B.i1-IQ3_M.gguf) | i1-IQ3_M | 1.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/Apollo2-1.5B-i1-GGUF/resolve/main/Apollo2-1.5B.i1-Q3_K_M.gguf) | i1-Q3_K_M | 1.0 | IQ3_S probably better |\n| [GGUF](https://huggingface.co/mradermacher/Apollo2-1.5B-i1-GGUF/resolve/main/Apollo2-1.5B.i1-Q3_K_L.gguf) | i1-Q3_K_L | 1.1 | IQ3_M probably better |\n| [GGUF](https://huggingface.co/mradermacher/Apollo2-1.5B-i1-GGUF/resolve/main/Apollo2-1.5B.i1-IQ4_XS.gguf) | i1-IQ4_XS | 1.1 |  |\n| [GGUF](https://huggingface.co/mradermacher/Apollo2-1.5B-i1-GGUF/resolve/main/Apollo2-1.5B.i1-IQ4_NL.gguf) | i1-IQ4_NL | 1.2 | prefer IQ4_XS |\n| [GGUF](https://huggingface.co/mradermacher/Apollo2-1.5B-i1-GGUF/resolve/main/Apollo2-1.5B.i1-Q4_0.gguf) | i1-Q4_0 | 1.2 | fast, low quality |\n| [GGUF](https://huggingface.co/mradermacher/Apollo2-1.5B-i1-GGUF/resolve/main/Apollo2-1.5B.i1-Q4_K_S.gguf) | i1-Q4_K_S | 1.2 | optimal size/speed/quality |\n| [GGUF](https://huggingface.co/mradermacher/Apollo2-1.5B-i1-GGUF/resolve/main/Apollo2-1.5B.i1-Q4_K_M.gguf) | i1-Q4_K_M | 1.2 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Apollo2-1.5B-i1-GGUF/resolve/main/Apollo2-1.5B.i1-Q4_1.gguf) | i1-Q4_1 | 1.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/Apollo2-1.5B-i1-GGUF/resolve/main/Apollo2-1.5B.i1-Q5_K_S.gguf) | i1-Q5_K_S | 1.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/Apollo2-1.5B-i1-GGUF/resolve/main/Apollo2-1.5B.i1-Q5_K_M.gguf) | i1-Q5_K_M | 1.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/Apollo2-1.5B-i1-GGUF/resolve/main/Apollo2-1.5B.i1-Q6_K.gguf) | i1-Q6_K | 1.6 | practically like static Q6_K |\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. Additional thanks to [@nicoboss](https://huggingface.co/nicoboss) for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.\n\n<!-- end -->\n",
    "related_quantizations": []
  },
  "tags": [
    "transformers",
    "gguf",
    "biology",
    "medical",
    "ar",
    "en",
    "zh",
    "ko",
    "ja",
    "mn",
    "th",
    "vi",
    "lo",
    "mg",
    "de",
    "pt",
    "es",
    "fr",
    "ru",
    "it",
    "hr",
    "gl",
    "cs",
    "co",
    "la",
    "uk",
    "bs",
    "bg",
    "eo",
    "sq",
    "da",
    "sa",
    "gn",
    "sr",
    "sk",
    "gd",
    "lb",
    "hi",
    "ku",
    "mt",
    "he",
    "ln",
    "bm",
    "sw",
    "ig",
    "rw",
    "ha",
    "dataset:FreedomIntelligence/ApolloMoEDataset",
    "base_model:FreedomIntelligence/Apollo2-1.5B",
    "base_model:quantized:FreedomIntelligence/Apollo2-1.5B",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "imatrix",
    "conversational"
  ],
  "likes": 0,
  "downloads": 90,
  "gated": false,
  "private": false,
  "last_modified": "2025-02-11T14:41:36.000Z",
  "created_at": "2025-02-11T13:51:33.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}

{
  "_id": "67ab55e5afe11b7aca33b764",
  "id": "mradermacher/Apollo2-1.5B-i1-GGUF",
  "modelId": "mradermacher/Apollo2-1.5B-i1-GGUF",
  "sha": "d24699bee30c06a0370fa78bffa69442cee0def0",
  "createdAt": "2025-02-11T13:51:33.000Z",
  "lastModified": "2025-02-11T14:41:36.000Z",
  "author": "mradermacher",
  "downloads": 90,
  "likes": 0,
  "gated": false,
  "private": false,
  "pipeline_tag": "",
  "library_name": "transformers",
  "siblings_count": 27
}