GraySoft
Projects Models About FAQ Contact Download guIDE →

mradermacher/gemma3-emotional-1b-i1-gguf Q6_K GGUF - Free GGUF Download is indexed on GraySoft with repository links, GGUF quant files, and Hugging Face metadata. This page helps you pick a local model for guIDE or other runtimes. See related models in the same shard below.

Model Intelligence Sheet

mradermacher/gemma3-emotional-1b-i1-gguf overview

About weighted/imatrix quants of https://huggingface.co/Novaciano/Gemma3-Emotional-1B For a convenient overview and download list, visit our model page for this model. static quants are available at https://huggingface.co/mradermacher/Gemma3-Emotional-1B-GGUF

transformersggufmergekitmergeenbase_model:Novaciano/Gemma3-Emotional-1Bbase_model:quantized:Novaciano/Gemma3-Emotional-1Bendpoints_compatibleregion:usimatrix
mradermacher/gemma3-emotional-1b-i1-gguf visual
Downloads
1,547
Likes
1
Pipeline
Library
transformers
Visibility
Public
Access
Open

Repository Files & Downloads

25 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
Gemma3-Emotional-1B.i1-IQ1_M.gguf GGUF IQ1_M 613.68 MB Download
Gemma3-Emotional-1B.i1-IQ1_S.gguf GGUF IQ1_S 609.58 MB Download
Gemma3-Emotional-1B.i1-IQ2_M.gguf GGUF IQ2_M 638.75 MB Download
Gemma3-Emotional-1B.i1-IQ2_S.gguf GGUF IQ2_S 633.30 MB Download
Gemma3-Emotional-1B.i1-IQ2_XS.gguf GGUF IQ2_XS 626.87 MB Download
Gemma3-Emotional-1B.i1-IQ2_XXS.gguf GGUF IQ2_XXS 620.50 MB Download
Gemma3-Emotional-1B.i1-IQ3_M.gguf GGUF IQ3_M 664.77 MB Download
Gemma3-Emotional-1B.i1-IQ3_S.gguf GGUF IQ3_S 657.86 MB Download
Gemma3-Emotional-1B.i1-IQ3_XS.gguf GGUF IQ3_XS 657.86 MB Download
Gemma3-Emotional-1B.i1-IQ3_XXS.gguf GGUF IQ3_XXS 648.60 MB Download
Gemma3-Emotional-1B.i1-IQ4_NL.gguf GGUF IQ4_NL 688.42 MB Download
Gemma3-Emotional-1B.i1-IQ4_XS.gguf GGUF IQ4_XS 681.34 MB Download
Gemma3-Emotional-1B.i1-Q2_K.gguf GGUF Q2_K 657.86 MB Download
Gemma3-Emotional-1B.i1-Q2_K_S.gguf GGUF Q2_K_S 640.17 MB Download
Gemma3-Emotional-1B.i1-Q3_K_L.gguf GGUF Q3_K_L 716.76 MB Download
Gemma3-Emotional-1B.i1-Q3_K_M.gguf GGUF Q3_K_M 688.95 MB Download
Gemma3-Emotional-1B.i1-Q3_K_S.gguf GGUF Q3_K_S 656.94 MB Download
Gemma3-Emotional-1B.i1-Q4_0.gguf GGUF 688.47 MB Download
Gemma3-Emotional-1B.i1-Q4_1.gguf GGUF 728.64 MB Download
Gemma3-Emotional-1B.i1-Q4_K_M.gguf GGUF Q4_K_M 768.72 MB Download
Gemma3-Emotional-1B.i1-Q4_K_S.gguf GGUF Q4_K_S 744.81 MB Download
Gemma3-Emotional-1B.i1-Q5_K_M.gguf GGUF Q5_K_M 811.91 MB Download
Gemma3-Emotional-1B.i1-Q5_K_S.gguf GGUF Q5_K_S 797.65 MB Download
Gemma3-Emotional-1B.i1-Q6_K.gguf GGUF Q6_K 964.87 MB Download
Gemma3-Emotional-1B.imatrix.gguf GGUF 1.39 MB Download

Model Details Live

Model Slug
mradermacher/gemma3-emotional-1b-i1-gguf
Author
mradermacher
Pipeline Task
Library
transformers
Created
2025-11-30
Last Modified
2025-12-04
Gated
No
Private
No
HF SHA
fec317fc268c821a7b39ce4c378353352a94c3f3
License
Unknown
Language
en
Base Model
Novaciano/Gemma3-Emotional-1B

Metadata Inspector

Normalized metadata (stored in metadata_json)
{
  "metadata": {},
  "card_data": {
    "base_model": "Novaciano/Gemma3-Emotional-1B",
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "mradermacher": {
      "readme_rev": 1
    },
    "quantized_by": "mradermacher",
    "tags": [
      "mergekit",
      "merge"
    ],
    "frontmatter": {
      "base_model": "Novaciano/Gemma3-Emotional-1B",
      "language": [
        "en"
      ],
      "library_name": "transformers",
      "mradermacher": [],
      "quantized_by": "mradermacher",
      "tags": [
        "mergekit",
        "merge"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About         weighted/imatrix quants of https://huggingface.co/Novaciano/Gemma3-Emotional-1B  ***For a convenient overview and download list, visit our model page for this model.*** static quants are available at https://huggingface.co/mradermacher/Gemma3-Emotional-1B-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: Novaciano/Gemma3-Emotional-1B\nlanguage:\n- en\nlibrary_name: transformers\nmradermacher:\n  readme_rev: 1\nquantized_by: mradermacher\ntags:\n- mergekit\n- merge\n---\n## About\n\n<!-- ### quantize_version: 2 -->\n<!-- ### output_tensor_quantised: 1 -->\n<!-- ### convert_type: hf -->\n<!-- ### vocab_type:  -->\n<!-- ### tags: nicoboss -->\n<!-- ### quants:  Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_K_M Q4_0 IQ3_XS Q4_1 IQ3_S -->\n<!-- ### quants_skip:  -->\n<!-- ### skip_mmproj:  -->\nweighted/imatrix quants of https://huggingface.co/Novaciano/Gemma3-Emotional-1B\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#Gemma3-Emotional-1B-i1-GGUF).***\n\nstatic quants are available at https://huggingface.co/mradermacher/Gemma3-Emotional-1B-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/Gemma3-Emotional-1B-i1-GGUF/resolve/main/Gemma3-Emotional-1B.imatrix.gguf) | imatrix | 0.1 | imatrix file (for creating your own quants) |\n| [GGUF](https://huggingface.co/mradermacher/Gemma3-Emotional-1B-i1-GGUF/resolve/main/Gemma3-Emotional-1B.i1-IQ1_S.gguf) | i1-IQ1_S | 0.7 | for the desperate |\n| [GGUF](https://huggingface.co/mradermacher/Gemma3-Emotional-1B-i1-GGUF/resolve/main/Gemma3-Emotional-1B.i1-IQ1_M.gguf) | i1-IQ1_M | 0.7 | mostly desperate |\n| [GGUF](https://huggingface.co/mradermacher/Gemma3-Emotional-1B-i1-GGUF/resolve/main/Gemma3-Emotional-1B.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 0.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/Gemma3-Emotional-1B-i1-GGUF/resolve/main/Gemma3-Emotional-1B.i1-IQ2_XS.gguf) | i1-IQ2_XS | 0.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/Gemma3-Emotional-1B-i1-GGUF/resolve/main/Gemma3-Emotional-1B.i1-IQ2_S.gguf) | i1-IQ2_S | 0.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/Gemma3-Emotional-1B-i1-GGUF/resolve/main/Gemma3-Emotional-1B.i1-IQ2_M.gguf) | i1-IQ2_M | 0.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/Gemma3-Emotional-1B-i1-GGUF/resolve/main/Gemma3-Emotional-1B.i1-Q2_K_S.gguf) | i1-Q2_K_S | 0.8 | very low quality |\n| [GGUF](https://huggingface.co/mradermacher/Gemma3-Emotional-1B-i1-GGUF/resolve/main/Gemma3-Emotional-1B.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 0.8 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Gemma3-Emotional-1B-i1-GGUF/resolve/main/Gemma3-Emotional-1B.i1-Q3_K_S.gguf) | i1-Q3_K_S | 0.8 | IQ3_XS probably better |\n| [GGUF](https://huggingface.co/mradermacher/Gemma3-Emotional-1B-i1-GGUF/resolve/main/Gemma3-Emotional-1B.i1-IQ3_S.gguf) | i1-IQ3_S | 0.8 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/Gemma3-Emotional-1B-i1-GGUF/resolve/main/Gemma3-Emotional-1B.i1-IQ3_XS.gguf) | i1-IQ3_XS | 0.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/Gemma3-Emotional-1B-i1-GGUF/resolve/main/Gemma3-Emotional-1B.i1-Q2_K.gguf) | i1-Q2_K | 0.8 | IQ3_XXS probably better |\n| [GGUF](https://huggingface.co/mradermacher/Gemma3-Emotional-1B-i1-GGUF/resolve/main/Gemma3-Emotional-1B.i1-IQ3_M.gguf) | i1-IQ3_M | 0.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/Gemma3-Emotional-1B-i1-GGUF/resolve/main/Gemma3-Emotional-1B.i1-IQ4_XS.gguf) | i1-IQ4_XS | 0.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/Gemma3-Emotional-1B-i1-GGUF/resolve/main/Gemma3-Emotional-1B.i1-IQ4_NL.gguf) | i1-IQ4_NL | 0.8 | prefer IQ4_XS |\n| [GGUF](https://huggingface.co/mradermacher/Gemma3-Emotional-1B-i1-GGUF/resolve/main/Gemma3-Emotional-1B.i1-Q4_0.gguf) | i1-Q4_0 | 0.8 | fast, low quality |\n| [GGUF](https://huggingface.co/mradermacher/Gemma3-Emotional-1B-i1-GGUF/resolve/main/Gemma3-Emotional-1B.i1-Q3_K_M.gguf) | i1-Q3_K_M | 0.8 | IQ3_S probably better |\n| [GGUF](https://huggingface.co/mradermacher/Gemma3-Emotional-1B-i1-GGUF/resolve/main/Gemma3-Emotional-1B.i1-Q3_K_L.gguf) | i1-Q3_K_L | 0.9 | IQ3_M probably better |\n| [GGUF](https://huggingface.co/mradermacher/Gemma3-Emotional-1B-i1-GGUF/resolve/main/Gemma3-Emotional-1B.i1-Q4_1.gguf) | i1-Q4_1 | 0.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/Gemma3-Emotional-1B-i1-GGUF/resolve/main/Gemma3-Emotional-1B.i1-Q4_K_S.gguf) | i1-Q4_K_S | 0.9 | optimal size/speed/quality |\n| [GGUF](https://huggingface.co/mradermacher/Gemma3-Emotional-1B-i1-GGUF/resolve/main/Gemma3-Emotional-1B.i1-Q4_K_M.gguf) | i1-Q4_K_M | 0.9 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Gemma3-Emotional-1B-i1-GGUF/resolve/main/Gemma3-Emotional-1B.i1-Q5_K_S.gguf) | i1-Q5_K_S | 0.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/Gemma3-Emotional-1B-i1-GGUF/resolve/main/Gemma3-Emotional-1B.i1-Q5_K_M.gguf) | i1-Q5_K_M | 1.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/Gemma3-Emotional-1B-i1-GGUF/resolve/main/Gemma3-Emotional-1B.i1-Q6_K.gguf) | i1-Q6_K | 1.1 | 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",
    "mergekit",
    "merge",
    "en",
    "base_model:Novaciano/Gemma3-Emotional-1B",
    "base_model:quantized:Novaciano/Gemma3-Emotional-1B",
    "endpoints_compatible",
    "region:us",
    "imatrix"
  ],
  "likes": 1,
  "downloads": 1547,
  "gated": false,
  "private": false,
  "last_modified": "2025-12-04T12:58:03.000Z",
  "created_at": "2025-11-30T11:54:50.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
{
  "_id": "692c308ac913fbc94da0f0c9",
  "id": "mradermacher/Gemma3-Emotional-1B-i1-GGUF",
  "modelId": "mradermacher/Gemma3-Emotional-1B-i1-GGUF",
  "sha": "fec317fc268c821a7b39ce4c378353352a94c3f3",
  "createdAt": "2025-11-30T11:54:50.000Z",
  "lastModified": "2025-12-04T12:58:03.000Z",
  "author": "mradermacher",
  "downloads": 1547,
  "likes": 1,
  "gated": false,
  "private": false,
  "pipeline_tag": "",
  "library_name": "transformers",
  "siblings_count": 27
}