mradermacher/aitana-7b-s-instruct-v0.1-gguf overview

{
  "metadata": {},
  "card_data": {
    "base_model": "gplsi/Aitana-7B-S-Instruct-v0.1",
    "datasets": [
      "gplsi/alia_dogv",
      "gplsi/alia_les_corts",
      "gplsi/alia_amic",
      "gplsi/alia_boua",
      "gplsi/alia_tourism"
    ],
    "language": [
      "ca",
      "es",
      "en"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "mradermacher": {
      "readme_rev": 1
    },
    "quantized_by": "mradermacher",
    "tags": [
      "valencian",
      "catalan",
      "spanish",
      "english",
      "text-generation",
      "alia",
      "gplsi"
    ],
    "frontmatter": {
      "base_model": "gplsi/Aitana-7B-S-Instruct-v0.1",
      "datasets": [
        "gplsi/alia_dogv",
        "gplsi/alia_les_corts",
        "gplsi/alia_amic",
        "gplsi/alia_boua",
        "gplsi/alia_tourism"
      ],
      "language": [
        "ca",
        "es",
        "en"
      ],
      "library_name": "transformers",
      "license": "apache-2.0",
      "mradermacher": [],
      "quantized_by": "mradermacher",
      "tags": [
        "valencian",
        "catalan",
        "spanish",
        "english",
        "text-generation",
        "alia",
        "gplsi"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About         static quants of https://huggingface.co/gplsi/Aitana-7B-S-Instruct-v0.1  ***For a convenient overview and download list, visit our model page for this model.*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/Aitana-7B-S-Instruct-v0.1-i1-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: gplsi/Aitana-7B-S-Instruct-v0.1\ndatasets:\n- gplsi/alia_dogv\n- gplsi/alia_les_corts\n- gplsi/alia_amic\n- gplsi/alia_boua\n- gplsi/alia_tourism\nlanguage:\n- ca\n- es\n- en\nlibrary_name: transformers\nlicense: apache-2.0\nmradermacher:\n  readme_rev: 1\nquantized_by: mradermacher\ntags:\n- valencian\n- catalan\n- spanish\n- english\n- text-generation\n- alia\n- gplsi\n---\n## About\n\n<!-- ### quantize_version: 2 -->\n<!-- ### output_tensor_quantised: 1 -->\n<!-- ### convert_type: hf -->\n<!-- ### vocab_type:  -->\n<!-- ### tags:  -->\n<!-- ### quants:  x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->\n<!-- ### quants_skip:  -->\n<!-- ### skip_mmproj:  -->\nstatic quants of https://huggingface.co/gplsi/Aitana-7B-S-Instruct-v0.1\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#Aitana-7B-S-Instruct-v0.1-GGUF).***\n\nweighted/imatrix quants are available at https://huggingface.co/mradermacher/Aitana-7B-S-Instruct-v0.1-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/Aitana-7B-S-Instruct-v0.1-GGUF/resolve/main/Aitana-7B-S-Instruct-v0.1.Q2_K.gguf) | Q2_K | 3.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/Aitana-7B-S-Instruct-v0.1-GGUF/resolve/main/Aitana-7B-S-Instruct-v0.1.Q3_K_S.gguf) | Q3_K_S | 3.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/Aitana-7B-S-Instruct-v0.1-GGUF/resolve/main/Aitana-7B-S-Instruct-v0.1.Q3_K_M.gguf) | Q3_K_M | 4.1 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Aitana-7B-S-Instruct-v0.1-GGUF/resolve/main/Aitana-7B-S-Instruct-v0.1.Q3_K_L.gguf) | Q3_K_L | 4.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/Aitana-7B-S-Instruct-v0.1-GGUF/resolve/main/Aitana-7B-S-Instruct-v0.1.IQ4_XS.gguf) | IQ4_XS | 4.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/Aitana-7B-S-Instruct-v0.1-GGUF/resolve/main/Aitana-7B-S-Instruct-v0.1.Q4_K_S.gguf) | Q4_K_S | 4.8 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Aitana-7B-S-Instruct-v0.1-GGUF/resolve/main/Aitana-7B-S-Instruct-v0.1.Q4_K_M.gguf) | Q4_K_M | 5.0 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Aitana-7B-S-Instruct-v0.1-GGUF/resolve/main/Aitana-7B-S-Instruct-v0.1.Q5_K_S.gguf) | Q5_K_S | 5.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/Aitana-7B-S-Instruct-v0.1-GGUF/resolve/main/Aitana-7B-S-Instruct-v0.1.Q5_K_M.gguf) | Q5_K_M | 5.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/Aitana-7B-S-Instruct-v0.1-GGUF/resolve/main/Aitana-7B-S-Instruct-v0.1.Q6_K.gguf) | Q6_K | 6.5 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/Aitana-7B-S-Instruct-v0.1-GGUF/resolve/main/Aitana-7B-S-Instruct-v0.1.Q8_0.gguf) | Q8_0 | 8.4 | fast, best quality |\n| [GGUF](https://huggingface.co/mradermacher/Aitana-7B-S-Instruct-v0.1-GGUF/resolve/main/Aitana-7B-S-Instruct-v0.1.f16.gguf) | f16 | 15.6 | 16 bpw, overkill |\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",
    "valencian",
    "catalan",
    "spanish",
    "english",
    "text-generation",
    "alia",
    "gplsi",
    "ca",
    "es",
    "en",
    "dataset:gplsi/alia_dogv",
    "dataset:gplsi/alia_les_corts",
    "dataset:gplsi/alia_amic",
    "dataset:gplsi/alia_boua",
    "dataset:gplsi/alia_tourism",
    "base_model:gplsi/Aitana-7B-S-Instruct-v0.1",
    "base_model:quantized:gplsi/Aitana-7B-S-Instruct-v0.1",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 0,
  "downloads": 716,
  "gated": false,
  "private": false,
  "last_modified": "2026-04-09T07:35:35.000Z",
  "created_at": "2026-04-08T19:20:45.000Z",
  "pipeline_tag": "text-generation",
  "library_name": "transformers"
}

{
  "_id": "69d6aa8de78f7c4dde3b8aec",
  "id": "mradermacher/Aitana-7B-S-Instruct-v0.1-GGUF",
  "modelId": "mradermacher/Aitana-7B-S-Instruct-v0.1-GGUF",
  "sha": "68a8d248912bcc60a80b720d0e8e7064ba2a26f7",
  "createdAt": "2026-04-08T19:20:45.000Z",
  "lastModified": "2026-04-09T07:35:35.000Z",
  "author": "mradermacher",
  "downloads": 716,
  "likes": 0,
  "gated": false,
  "private": false,
  "pipeline_tag": "text-generation",
  "library_name": "transformers",
  "siblings_count": 14
}