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mradermacher/glm-4.6-reap-268b-a32b-derestricted-i1-gguf Q4_K_M 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/glm-4.6-reap-268b-a32b-derestricted-i1-gguf overview

About weighted/imatrix quants of https://huggingface.co/ArliAI/GLM-4.6-REAP-268B-A32B-Derestricted For a convenient overview and download list, visit our model page for this model. static quants are available at https://huggingface.co/mradermacher/GLM-4.6-REAP-268B-A32B-Derestricted-GGUF

transformersggufabliteratedderestrictedglm-4.6unlimiteduncensoredenbase_model:ArliAI/GLM-4.6-REAP-268B-A32B-Derestrictedbase_model:quantized:ArliAI/GLM-4.6-REAP-268B-A32B-Derestrictedlicense:mitendpoints_compatibleregion:usimatrixconversational
mradermacher/glm-4.6-reap-268b-a32b-derestricted-i1-gguf visual
Downloads
2,399
Likes
5
Pipeline
Library
transformers
Visibility
Public
Access
Open

Repository Files & Downloads

22 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
GLM-4.6-REAP-268B-A32B-Derestricted.i1-IQ1_M.gguf GGUF IQ1_M 56.16 GB Download
GLM-4.6-REAP-268B-A32B-Derestricted.i1-IQ1_S.gguf GGUF IQ1_S 50.55 GB Download
GLM-4.6-REAP-268B-A32B-Derestricted.i1-IQ2_M.gguf GGUF IQ2_M 81.84 GB Download
GLM-4.6-REAP-268B-A32B-Derestricted.i1-IQ2_S.gguf GGUF IQ2_S 74.36 GB Download
GLM-4.6-REAP-268B-A32B-Derestricted.i1-IQ2_XS.gguf GGUF IQ2_XS 73.15 GB Download
GLM-4.6-REAP-268B-A32B-Derestricted.i1-IQ2_XXS.gguf GGUF IQ2_XXS 65.51 GB Download
GLM-4.6-REAP-268B-A32B-Derestricted.i1-IQ3_M.gguf GGUF IQ3_M 109.78 GB Download
GLM-4.6-REAP-268B-A32B-Derestricted.i1-IQ3_S.gguf GGUF IQ3_S 108.10 GB Download
GLM-4.6-REAP-268B-A32B-Derestricted.i1-IQ3_XXS.gguf GGUF IQ3_XXS 96.25 GB Download
GLM-4.6-REAP-268B-A32B-Derestricted.i1-IQ4_XS.gguf GGUF IQ4_XS 133.46 GB Download
GLM-4.6-REAP-268B-A32B-Derestricted.i1-Q2_K.gguf GGUF Q2_K 91.38 GB Download
GLM-4.6-REAP-268B-A32B-Derestricted.i1-Q2_K_S.gguf GGUF Q2_K_S 84.51 GB Download
GLM-4.6-REAP-268B-A32B-Derestricted.i1-Q3_K_L.gguf GGUF Q3_K_L 129.93 GB Download
GLM-4.6-REAP-268B-A32B-Derestricted.i1-Q3_K_M.gguf GGUF Q3_K_M 119.56 GB Download
GLM-4.6-REAP-268B-A32B-Derestricted.i1-Q3_K_S.gguf GGUF Q3_K_S 108.04 GB Download
GLM-4.6-REAP-268B-A32B-Derestricted.i1-Q4_0.gguf GGUF 141.64 GB Download
GLM-4.6-REAP-268B-A32B-Derestricted.i1-Q4_K_M.gguf GGUF Q4_K_M 151.12 GB Download
GLM-4.6-REAP-268B-A32B-Derestricted.i1-Q4_K_S.gguf GGUF Q4_K_S 142.10 GB Download
GLM-4.6-REAP-268B-A32B-Derestricted.i1-Q5_K_M.gguf GGUF Q5_K_M 177.50 GB Download
GLM-4.6-REAP-268B-A32B-Derestricted.i1-Q5_K_S.gguf GGUF Q5_K_S 172.38 GB Download
GLM-4.6-REAP-268B-A32B-Derestricted.i1-Q6_K.gguf GGUF Q6_K 205.53 GB Download
GLM-4.6-REAP-268B-A32B-Derestricted.imatrix.gguf GGUF 495.73 MB Download

Model Details Live

Model Slug
mradermacher/glm-4.6-reap-268b-a32b-derestricted-i1-gguf
Author
mradermacher
Pipeline Task
Library
transformers
Created
2025-12-13
Last Modified
2025-12-22
Gated
No
Private
No
HF SHA
ca464ce8adea8af29134689aa92b31eb46ca0f18
License
mit
Language
en
Base Model
ArliAI/GLM-4.6-REAP-268B-A32B-Derestricted

Metadata Inspector

Normalized metadata (stored in metadata_json)
{
  "metadata": {},
  "card_data": {
    "base_model": "ArliAI/GLM-4.6-REAP-268B-A32B-Derestricted",
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "mit",
    "mradermacher": {
      "readme_rev": 1
    },
    "quantized_by": "mradermacher",
    "tags": [
      "abliterated",
      "derestricted",
      "glm-4.6",
      "unlimited",
      "uncensored"
    ],
    "frontmatter": {
      "base_model": "ArliAI/GLM-4.6-REAP-268B-A32B-Derestricted",
      "language": [
        "en"
      ],
      "library_name": "transformers",
      "license": "mit",
      "mradermacher": [],
      "quantized_by": "mradermacher",
      "tags": [
        "abliterated",
        "derestricted",
        "glm-4.6",
        "unlimited",
        "uncensored"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About         weighted/imatrix quants of https://huggingface.co/ArliAI/GLM-4.6-REAP-268B-A32B-Derestricted  ***For a convenient overview and download list, visit our model page for this model.*** static quants are available at https://huggingface.co/mradermacher/GLM-4.6-REAP-268B-A32B-Derestricted-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: ArliAI/GLM-4.6-REAP-268B-A32B-Derestricted\nlanguage:\n- en\nlibrary_name: transformers\nlicense: mit\nmradermacher:\n  readme_rev: 1\nquantized_by: mradermacher\ntags:\n- abliterated\n- derestricted\n- glm-4.6\n- unlimited\n- uncensored\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/ArliAI/GLM-4.6-REAP-268B-A32B-Derestricted\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#GLM-4.6-REAP-268B-A32B-Derestricted-i1-GGUF).***\n\nstatic quants are available at https://huggingface.co/mradermacher/GLM-4.6-REAP-268B-A32B-Derestricted-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/GLM-4.6-REAP-268B-A32B-Derestricted-i1-GGUF/resolve/main/GLM-4.6-REAP-268B-A32B-Derestricted.imatrix.gguf) | imatrix | 0.6 | imatrix file (for creating your own quants) |\n| [GGUF](https://huggingface.co/mradermacher/GLM-4.6-REAP-268B-A32B-Derestricted-i1-GGUF/resolve/main/GLM-4.6-REAP-268B-A32B-Derestricted.i1-IQ1_S.gguf) | i1-IQ1_S | 54.4 | for the desperate |\n| [GGUF](https://huggingface.co/mradermacher/GLM-4.6-REAP-268B-A32B-Derestricted-i1-GGUF/resolve/main/GLM-4.6-REAP-268B-A32B-Derestricted.i1-IQ1_M.gguf) | i1-IQ1_M | 60.4 | mostly desperate |\n| [GGUF](https://huggingface.co/mradermacher/GLM-4.6-REAP-268B-A32B-Derestricted-i1-GGUF/resolve/main/GLM-4.6-REAP-268B-A32B-Derestricted.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 70.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/GLM-4.6-REAP-268B-A32B-Derestricted-i1-GGUF/resolve/main/GLM-4.6-REAP-268B-A32B-Derestricted.i1-IQ2_XS.gguf) | i1-IQ2_XS | 78.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/GLM-4.6-REAP-268B-A32B-Derestricted-i1-GGUF/resolve/main/GLM-4.6-REAP-268B-A32B-Derestricted.i1-IQ2_S.gguf) | i1-IQ2_S | 79.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/GLM-4.6-REAP-268B-A32B-Derestricted-i1-GGUF/resolve/main/GLM-4.6-REAP-268B-A32B-Derestricted.i1-IQ2_M.gguf) | i1-IQ2_M | 88.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/GLM-4.6-REAP-268B-A32B-Derestricted-i1-GGUF/resolve/main/GLM-4.6-REAP-268B-A32B-Derestricted.i1-Q2_K_S.gguf) | i1-Q2_K_S | 90.8 | very low quality |\n| [GGUF](https://huggingface.co/mradermacher/GLM-4.6-REAP-268B-A32B-Derestricted-i1-GGUF/resolve/main/GLM-4.6-REAP-268B-A32B-Derestricted.i1-Q2_K.gguf) | i1-Q2_K | 98.2 | IQ3_XXS probably better |\n| [GGUF](https://huggingface.co/mradermacher/GLM-4.6-REAP-268B-A32B-Derestricted-i1-GGUF/resolve/main/GLM-4.6-REAP-268B-A32B-Derestricted.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 103.5 | lower quality |\n| [PART 1](https://huggingface.co/mradermacher/GLM-4.6-REAP-268B-A32B-Derestricted-i1-GGUF/resolve/main/GLM-4.6-REAP-268B-A32B-Derestricted.i1-IQ3_XS.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/GLM-4.6-REAP-268B-A32B-Derestricted-i1-GGUF/resolve/main/GLM-4.6-REAP-268B-A32B-Derestricted.i1-IQ3_XS.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/GLM-4.6-REAP-268B-A32B-Derestricted-i1-GGUF/resolve/main/GLM-4.6-REAP-268B-A32B-Derestricted.i1-IQ3_XS.gguf.part3of3) | i1-IQ3_XS | 109.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/GLM-4.6-REAP-268B-A32B-Derestricted-i1-GGUF/resolve/main/GLM-4.6-REAP-268B-A32B-Derestricted.i1-Q3_K_S.gguf) | i1-Q3_K_S | 116.1 | IQ3_XS probably better |\n| [GGUF](https://huggingface.co/mradermacher/GLM-4.6-REAP-268B-A32B-Derestricted-i1-GGUF/resolve/main/GLM-4.6-REAP-268B-A32B-Derestricted.i1-IQ3_S.gguf) | i1-IQ3_S | 116.2 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/GLM-4.6-REAP-268B-A32B-Derestricted-i1-GGUF/resolve/main/GLM-4.6-REAP-268B-A32B-Derestricted.i1-IQ3_M.gguf) | i1-IQ3_M | 118.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/GLM-4.6-REAP-268B-A32B-Derestricted-i1-GGUF/resolve/main/GLM-4.6-REAP-268B-A32B-Derestricted.i1-Q3_K_M.gguf) | i1-Q3_K_M | 128.5 | IQ3_S probably better |\n| [GGUF](https://huggingface.co/mradermacher/GLM-4.6-REAP-268B-A32B-Derestricted-i1-GGUF/resolve/main/GLM-4.6-REAP-268B-A32B-Derestricted.i1-Q3_K_L.gguf) | i1-Q3_K_L | 139.6 | IQ3_M probably better |\n| [GGUF](https://huggingface.co/mradermacher/GLM-4.6-REAP-268B-A32B-Derestricted-i1-GGUF/resolve/main/GLM-4.6-REAP-268B-A32B-Derestricted.i1-IQ4_XS.gguf) | i1-IQ4_XS | 143.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/GLM-4.6-REAP-268B-A32B-Derestricted-i1-GGUF/resolve/main/GLM-4.6-REAP-268B-A32B-Derestricted.i1-Q4_0.gguf) | i1-Q4_0 | 152.2 | fast, low quality |\n| [GGUF](https://huggingface.co/mradermacher/GLM-4.6-REAP-268B-A32B-Derestricted-i1-GGUF/resolve/main/GLM-4.6-REAP-268B-A32B-Derestricted.i1-Q4_K_S.gguf) | i1-Q4_K_S | 152.7 | optimal size/speed/quality |\n| [GGUF](https://huggingface.co/mradermacher/GLM-4.6-REAP-268B-A32B-Derestricted-i1-GGUF/resolve/main/GLM-4.6-REAP-268B-A32B-Derestricted.i1-Q4_K_M.gguf) | i1-Q4_K_M | 162.4 | fast, recommended |\n| [PART 1](https://huggingface.co/mradermacher/GLM-4.6-REAP-268B-A32B-Derestricted-i1-GGUF/resolve/main/GLM-4.6-REAP-268B-A32B-Derestricted.i1-Q4_1.gguf.part1of4) [PART 2](https://huggingface.co/mradermacher/GLM-4.6-REAP-268B-A32B-Derestricted-i1-GGUF/resolve/main/GLM-4.6-REAP-268B-A32B-Derestricted.i1-Q4_1.gguf.part2of4) [PART 3](https://huggingface.co/mradermacher/GLM-4.6-REAP-268B-A32B-Derestricted-i1-GGUF/resolve/main/GLM-4.6-REAP-268B-A32B-Derestricted.i1-Q4_1.gguf.part3of4) [PART 4](https://huggingface.co/mradermacher/GLM-4.6-REAP-268B-A32B-Derestricted-i1-GGUF/resolve/main/GLM-4.6-REAP-268B-A32B-Derestricted.i1-Q4_1.gguf.part4of4) | i1-Q4_1 | 168.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/GLM-4.6-REAP-268B-A32B-Derestricted-i1-GGUF/resolve/main/GLM-4.6-REAP-268B-A32B-Derestricted.i1-Q5_K_S.gguf) | i1-Q5_K_S | 185.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/GLM-4.6-REAP-268B-A32B-Derestricted-i1-GGUF/resolve/main/GLM-4.6-REAP-268B-A32B-Derestricted.i1-Q5_K_M.gguf) | i1-Q5_K_M | 190.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/GLM-4.6-REAP-268B-A32B-Derestricted-i1-GGUF/resolve/main/GLM-4.6-REAP-268B-A32B-Derestricted.i1-Q6_K.gguf) | i1-Q6_K | 220.8 | 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",
    "abliterated",
    "derestricted",
    "glm-4.6",
    "unlimited",
    "uncensored",
    "en",
    "base_model:ArliAI/GLM-4.6-REAP-268B-A32B-Derestricted",
    "base_model:quantized:ArliAI/GLM-4.6-REAP-268B-A32B-Derestricted",
    "license:mit",
    "endpoints_compatible",
    "region:us",
    "imatrix",
    "conversational"
  ],
  "likes": 5,
  "downloads": 2399,
  "gated": false,
  "private": false,
  "last_modified": "2025-12-22T06:48:13.000Z",
  "created_at": "2025-12-13T11:06:54.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
{
  "_id": "693d48ceb2cbe196d9a8f81f",
  "id": "mradermacher/GLM-4.6-REAP-268B-A32B-Derestricted-i1-GGUF",
  "modelId": "mradermacher/GLM-4.6-REAP-268B-A32B-Derestricted-i1-GGUF",
  "sha": "ca464ce8adea8af29134689aa92b31eb46ca0f18",
  "createdAt": "2025-12-13T11:06:54.000Z",
  "lastModified": "2025-12-22T06:48:13.000Z",
  "author": "mradermacher",
  "downloads": 2399,
  "likes": 5,
  "gated": false,
  "private": false,
  "pipeline_tag": "",
  "library_name": "transformers",
  "siblings_count": 31
}