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mradermacher/wizardlm-13b-v1.0-uncensored-i1-gguf overview

About weighted/imatrix quants of https://huggingface.co/QuixiAI/WizardLM-13B-V1.0-Uncensored For a convenient overview and download list, visit our model page for this model. static quants are available at https://huggingface.co/mradermacher/WizardLM-13B-V1.0-Uncensored-GGUF

transformersggufendataset:ehartford/WizardLM_evol_instruct_V2_196k_unfiltered_merged_splitbase_model:QuixiAI/WizardLM-13B-V1.0-Uncensoredbase_model:quantized:QuixiAI/WizardLM-13B-V1.0-Uncensoredlicense:otherendpoints_compatibleregion:usimatrix
mradermacher/wizardlm-13b-v1.0-uncensored-i1-gguf visual
Downloads
120
Likes
0
Pipeline
Library
transformers
Visibility
Public
Access
Open

Repository Files & Downloads

24 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
WizardLM-13B-V1.0-Uncensored.i1-IQ1_M.gguf GGUF IQ1_M 2.92 GB Download
WizardLM-13B-V1.0-Uncensored.i1-IQ1_S.gguf GGUF IQ1_S 2.70 GB Download
WizardLM-13B-V1.0-Uncensored.i1-IQ2_M.gguf GGUF IQ2_M 4.21 GB Download
WizardLM-13B-V1.0-Uncensored.i1-IQ2_S.gguf GGUF IQ2_S 3.91 GB Download
WizardLM-13B-V1.0-Uncensored.i1-IQ2_XS.gguf GGUF IQ2_XS 3.62 GB Download
WizardLM-13B-V1.0-Uncensored.i1-IQ2_XXS.gguf GGUF IQ2_XXS 3.30 GB Download
WizardLM-13B-V1.0-Uncensored.i1-IQ3_M.gguf GGUF IQ3_M 5.57 GB Download
WizardLM-13B-V1.0-Uncensored.i1-IQ3_S.gguf GGUF IQ3_S 5.27 GB Download
WizardLM-13B-V1.0-Uncensored.i1-IQ3_XS.gguf GGUF IQ3_XS 4.99 GB Download
WizardLM-13B-V1.0-Uncensored.i1-IQ3_XXS.gguf GGUF IQ3_XXS 4.62 GB Download
WizardLM-13B-V1.0-Uncensored.i1-IQ4_NL.gguf GGUF IQ4_NL 6.86 GB Download
WizardLM-13B-V1.0-Uncensored.i1-IQ4_XS.gguf GGUF IQ4_XS 6.49 GB Download
WizardLM-13B-V1.0-Uncensored.i1-Q2_K.gguf GGUF Q2_K 4.52 GB Download
WizardLM-13B-V1.0-Uncensored.i1-Q2_K_S.gguf GGUF Q2_K_S 4.13 GB Download
WizardLM-13B-V1.0-Uncensored.i1-Q3_K_L.gguf GGUF Q3_K_L 6.45 GB Download
WizardLM-13B-V1.0-Uncensored.i1-Q3_K_M.gguf GGUF Q3_K_M 5.90 GB Download
WizardLM-13B-V1.0-Uncensored.i1-Q3_K_S.gguf GGUF Q3_K_S 5.27 GB Download
WizardLM-13B-V1.0-Uncensored.i1-Q4_0.gguf GGUF 6.88 GB Download
WizardLM-13B-V1.0-Uncensored.i1-Q4_1.gguf GGUF 7.61 GB Download
WizardLM-13B-V1.0-Uncensored.i1-Q4_K_M.gguf GGUF Q4_K_M 7.33 GB Download
WizardLM-13B-V1.0-Uncensored.i1-Q4_K_S.gguf GGUF Q4_K_S 6.91 GB Download
WizardLM-13B-V1.0-Uncensored.i1-Q5_K_M.gguf GGUF Q5_K_M 8.60 GB Download
WizardLM-13B-V1.0-Uncensored.i1-Q5_K_S.gguf GGUF Q5_K_S 8.36 GB Download
WizardLM-13B-V1.0-Uncensored.i1-Q6_K.gguf GGUF Q6_K 9.95 GB Download

Model Details Live

Model Slug
mradermacher/wizardlm-13b-v1.0-uncensored-i1-gguf
Author
mradermacher
Pipeline Task
Library
transformers
Created
2025-03-16
Last Modified
2025-07-14
Gated
No
Private
No
HF SHA
b0572bbe8c63ee9ab95005e703add22796c5e257
License
other
Language
en
Base Model
QuixiAI/WizardLM-13B-V1.0-Uncensored

Metadata Inspector

Normalized metadata (stored in metadata_json)
{
  "metadata": {},
  "card_data": {
    "base_model": "QuixiAI/WizardLM-13B-V1.0-Uncensored",
    "datasets": [
      "ehartford/WizardLM_evol_instruct_V2_196k_unfiltered_merged_split"
    ],
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "other",
    "mradermacher": {
      "readme_rev": 1
    },
    "quantized_by": "mradermacher",
    "frontmatter": {
      "base_model": "QuixiAI/WizardLM-13B-V1.0-Uncensored",
      "datasets": [
        "ehartford/WizardLM_evol_instruct_V2_196k_unfiltered_merged_split"
      ],
      "language": [
        "en"
      ],
      "library_name": "transformers",
      "license": "other",
      "mradermacher": [],
      "quantized_by": "mradermacher"
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About      weighted/imatrix quants of https://huggingface.co/QuixiAI/WizardLM-13B-V1.0-Uncensored  ***For a convenient overview and download list, visit our model page for this model.*** static quants are available at https://huggingface.co/mradermacher/WizardLM-13B-V1.0-Uncensored-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: QuixiAI/WizardLM-13B-V1.0-Uncensored\ndatasets:\n- ehartford/WizardLM_evol_instruct_V2_196k_unfiltered_merged_split\nlanguage:\n- en\nlibrary_name: transformers\nlicense: other\nmradermacher:\n  readme_rev: 1\nquantized_by: mradermacher\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/QuixiAI/WizardLM-13B-V1.0-Uncensored\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#WizardLM-13B-V1.0-Uncensored-i1-GGUF).***\n\nstatic quants are available at https://huggingface.co/mradermacher/WizardLM-13B-V1.0-Uncensored-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/WizardLM-13B-V1.0-Uncensored-i1-GGUF/resolve/main/WizardLM-13B-V1.0-Uncensored.i1-IQ1_S.gguf) | i1-IQ1_S | 3.0 | for the desperate |\n| [GGUF](https://huggingface.co/mradermacher/WizardLM-13B-V1.0-Uncensored-i1-GGUF/resolve/main/WizardLM-13B-V1.0-Uncensored.i1-IQ1_M.gguf) | i1-IQ1_M | 3.2 | mostly desperate |\n| [GGUF](https://huggingface.co/mradermacher/WizardLM-13B-V1.0-Uncensored-i1-GGUF/resolve/main/WizardLM-13B-V1.0-Uncensored.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 3.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/WizardLM-13B-V1.0-Uncensored-i1-GGUF/resolve/main/WizardLM-13B-V1.0-Uncensored.i1-IQ2_XS.gguf) | i1-IQ2_XS | 4.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/WizardLM-13B-V1.0-Uncensored-i1-GGUF/resolve/main/WizardLM-13B-V1.0-Uncensored.i1-IQ2_S.gguf) | i1-IQ2_S | 4.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/WizardLM-13B-V1.0-Uncensored-i1-GGUF/resolve/main/WizardLM-13B-V1.0-Uncensored.i1-Q2_K_S.gguf) | i1-Q2_K_S | 4.5 | very low quality |\n| [GGUF](https://huggingface.co/mradermacher/WizardLM-13B-V1.0-Uncensored-i1-GGUF/resolve/main/WizardLM-13B-V1.0-Uncensored.i1-IQ2_M.gguf) | i1-IQ2_M | 4.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/WizardLM-13B-V1.0-Uncensored-i1-GGUF/resolve/main/WizardLM-13B-V1.0-Uncensored.i1-Q2_K.gguf) | i1-Q2_K | 5.0 | IQ3_XXS probably better |\n| [GGUF](https://huggingface.co/mradermacher/WizardLM-13B-V1.0-Uncensored-i1-GGUF/resolve/main/WizardLM-13B-V1.0-Uncensored.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 5.1 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/WizardLM-13B-V1.0-Uncensored-i1-GGUF/resolve/main/WizardLM-13B-V1.0-Uncensored.i1-IQ3_XS.gguf) | i1-IQ3_XS | 5.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/WizardLM-13B-V1.0-Uncensored-i1-GGUF/resolve/main/WizardLM-13B-V1.0-Uncensored.i1-IQ3_S.gguf) | i1-IQ3_S | 5.8 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/WizardLM-13B-V1.0-Uncensored-i1-GGUF/resolve/main/WizardLM-13B-V1.0-Uncensored.i1-Q3_K_S.gguf) | i1-Q3_K_S | 5.8 | IQ3_XS probably better |\n| [GGUF](https://huggingface.co/mradermacher/WizardLM-13B-V1.0-Uncensored-i1-GGUF/resolve/main/WizardLM-13B-V1.0-Uncensored.i1-IQ3_M.gguf) | i1-IQ3_M | 6.1 |  |\n| [GGUF](https://huggingface.co/mradermacher/WizardLM-13B-V1.0-Uncensored-i1-GGUF/resolve/main/WizardLM-13B-V1.0-Uncensored.i1-Q3_K_M.gguf) | i1-Q3_K_M | 6.4 | IQ3_S probably better |\n| [GGUF](https://huggingface.co/mradermacher/WizardLM-13B-V1.0-Uncensored-i1-GGUF/resolve/main/WizardLM-13B-V1.0-Uncensored.i1-Q3_K_L.gguf) | i1-Q3_K_L | 7.0 | IQ3_M probably better |\n| [GGUF](https://huggingface.co/mradermacher/WizardLM-13B-V1.0-Uncensored-i1-GGUF/resolve/main/WizardLM-13B-V1.0-Uncensored.i1-IQ4_XS.gguf) | i1-IQ4_XS | 7.1 |  |\n| [GGUF](https://huggingface.co/mradermacher/WizardLM-13B-V1.0-Uncensored-i1-GGUF/resolve/main/WizardLM-13B-V1.0-Uncensored.i1-IQ4_NL.gguf) | i1-IQ4_NL | 7.5 | prefer IQ4_XS |\n| [GGUF](https://huggingface.co/mradermacher/WizardLM-13B-V1.0-Uncensored-i1-GGUF/resolve/main/WizardLM-13B-V1.0-Uncensored.i1-Q4_0.gguf) | i1-Q4_0 | 7.5 | fast, low quality |\n| [GGUF](https://huggingface.co/mradermacher/WizardLM-13B-V1.0-Uncensored-i1-GGUF/resolve/main/WizardLM-13B-V1.0-Uncensored.i1-Q4_K_S.gguf) | i1-Q4_K_S | 7.5 | optimal size/speed/quality |\n| [GGUF](https://huggingface.co/mradermacher/WizardLM-13B-V1.0-Uncensored-i1-GGUF/resolve/main/WizardLM-13B-V1.0-Uncensored.i1-Q4_K_M.gguf) | i1-Q4_K_M | 8.0 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/WizardLM-13B-V1.0-Uncensored-i1-GGUF/resolve/main/WizardLM-13B-V1.0-Uncensored.i1-Q4_1.gguf) | i1-Q4_1 | 8.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/WizardLM-13B-V1.0-Uncensored-i1-GGUF/resolve/main/WizardLM-13B-V1.0-Uncensored.i1-Q5_K_S.gguf) | i1-Q5_K_S | 9.1 |  |\n| [GGUF](https://huggingface.co/mradermacher/WizardLM-13B-V1.0-Uncensored-i1-GGUF/resolve/main/WizardLM-13B-V1.0-Uncensored.i1-Q5_K_M.gguf) | i1-Q5_K_M | 9.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/WizardLM-13B-V1.0-Uncensored-i1-GGUF/resolve/main/WizardLM-13B-V1.0-Uncensored.i1-Q6_K.gguf) | i1-Q6_K | 10.8 | 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",
    "en",
    "dataset:ehartford/WizardLM_evol_instruct_V2_196k_unfiltered_merged_split",
    "base_model:QuixiAI/WizardLM-13B-V1.0-Uncensored",
    "base_model:quantized:QuixiAI/WizardLM-13B-V1.0-Uncensored",
    "license:other",
    "endpoints_compatible",
    "region:us",
    "imatrix"
  ],
  "likes": 0,
  "downloads": 120,
  "gated": false,
  "private": false,
  "last_modified": "2025-07-14T22:15:26.000Z",
  "created_at": "2025-03-16T00:25:33.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
{
  "_id": "67d61a7d1c0f5ecdd8148210",
  "id": "mradermacher/WizardLM-13B-V1.0-Uncensored-i1-GGUF",
  "modelId": "mradermacher/WizardLM-13B-V1.0-Uncensored-i1-GGUF",
  "sha": "b0572bbe8c63ee9ab95005e703add22796c5e257",
  "createdAt": "2025-03-16T00:25:33.000Z",
  "lastModified": "2025-07-14T22:15:26.000Z",
  "author": "mradermacher",
  "downloads": 120,
  "likes": 0,
  "gated": false,
  "private": false,
  "pipeline_tag": "",
  "library_name": "transformers",
  "siblings_count": 27
}