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mradermacher/step-3.5-flash-reap-128b-a11b-i1-gguf overview

About weighted/imatrix quants of https://huggingface.co/lkevincc0/Step-3.5-Flash-REAP-128B-A11B For a convenient overview and download list, visit our model page for this model. static quants are available at https://huggingface.co/mradermacher/Step-3.5-Flash-REAP-128B-A11B-GGUF

transformersggufreappruningendataset:lkevincc0/glm47-math-code-calibration-1024base_model:lkevincc0/Step-3.5-Flash-REAP-128B-A11Bbase_model:quantized:lkevincc0/Step-3.5-Flash-REAP-128B-A11Blicense:apache-2.0endpoints_compatibleregion:usimatrixconversational
mradermacher/step-3.5-flash-reap-128b-a11b-i1-gguf visual
Downloads
1,336
Likes
1
Pipeline
Library
transformers
Visibility
Public
Access
Open

Repository Files & Downloads

24 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
Step-3.5-Flash-REAP-128B-A11B.i1-IQ1_M.gguf GGUF IQ1_M 25.28 GB Download
Step-3.5-Flash-REAP-128B-A11B.i1-IQ1_S.gguf GGUF IQ1_S 22.74 GB Download
Step-3.5-Flash-REAP-128B-A11B.i1-IQ2_M.gguf GGUF IQ2_M 36.79 GB Download
Step-3.5-Flash-REAP-128B-A11B.i1-IQ2_S.gguf GGUF IQ2_S 33.40 GB Download
Step-3.5-Flash-REAP-128B-A11B.i1-IQ2_XS.gguf GGUF IQ2_XS 32.98 GB Download
Step-3.5-Flash-REAP-128B-A11B.i1-IQ2_XXS.gguf GGUF IQ2_XXS 29.52 GB Download
Step-3.5-Flash-REAP-128B-A11B.i1-IQ3_M.gguf GGUF IQ3_M 49.23 GB Download
Step-3.5-Flash-REAP-128B-A11B.i1-IQ3_S.gguf GGUF IQ3_S 48.73 GB Download
Step-3.5-Flash-REAP-128B-A11B.i1-IQ3_XS.gguf GGUF IQ3_XS 45.92 GB Download
Step-3.5-Flash-REAP-128B-A11B.i1-IQ3_XXS.gguf GGUF IQ3_XXS 43.40 GB Download
Step-3.5-Flash-REAP-128B-A11B.i1-IQ4_XS.gguf GGUF IQ4_XS 60.12 GB Download
Step-3.5-Flash-REAP-128B-A11B.i1-Q2_K.gguf GGUF Q2_K 41.19 GB Download
Step-3.5-Flash-REAP-128B-A11B.i1-Q2_K_S.gguf GGUF Q2_K_S 37.79 GB Download
Step-3.5-Flash-REAP-128B-A11B.i1-Q3_K_L.gguf GGUF Q3_K_L 58.48 GB Download
Step-3.5-Flash-REAP-128B-A11B.i1-Q3_K_M.gguf GGUF Q3_K_M 53.75 GB Download
Step-3.5-Flash-REAP-128B-A11B.i1-Q3_K_S.gguf GGUF Q3_K_S 48.71 GB Download
Step-3.5-Flash-REAP-128B-A11B.i1-Q4_0.gguf GGUF 63.71 GB Download
Step-3.5-Flash-REAP-128B-A11B.i1-Q4_1.gguf GGUF 70.61 GB Download
Step-3.5-Flash-REAP-128B-A11B.i1-Q4_K_M.gguf GGUF Q4_K_M 67.82 GB Download
Step-3.5-Flash-REAP-128B-A11B.i1-Q4_K_S.gguf GGUF Q4_K_S 63.83 GB Download
Step-3.5-Flash-REAP-128B-A11B.i1-Q5_K_M.gguf GGUF Q5_K_M 79.79 GB Download
Step-3.5-Flash-REAP-128B-A11B.i1-Q5_K_S.gguf GGUF Q5_K_S 77.62 GB Download
Step-3.5-Flash-REAP-128B-A11B.i1-Q6_K.gguf GGUF Q6_K 92.51 GB Download
Step-3.5-Flash-REAP-128B-A11B.imatrix.gguf GGUF 269.84 MB Download

Model Details Live

Model Slug
mradermacher/step-3.5-flash-reap-128b-a11b-i1-gguf
Author
mradermacher
Pipeline Task
Library
transformers
Created
2026-03-03
Last Modified
2026-03-04
Gated
No
Private
No
HF SHA
5bbde2b6037aa2a157d4c256a55402585a8d55fe
License
apache-2.0
Language
en
Base Model
lkevincc0/Step-3.5-Flash-REAP-128B-A11B

Metadata Inspector

Normalized metadata (stored in metadata_json)
{
  "metadata": {},
  "card_data": {
    "base_model": "lkevincc0/Step-3.5-Flash-REAP-128B-A11B",
    "datasets": [
      "lkevincc0/glm47-math-code-calibration-1024"
    ],
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "mradermacher": {
      "readme_rev": 1
    },
    "quantized_by": "mradermacher",
    "tags": [
      "reap",
      "pruning"
    ],
    "frontmatter": {
      "base_model": "lkevincc0/Step-3.5-Flash-REAP-128B-A11B",
      "datasets": [
        "lkevincc0/glm47-math-code-calibration-1024"
      ],
      "language": [
        "en"
      ],
      "library_name": "transformers",
      "license": "apache-2.0",
      "mradermacher": [],
      "quantized_by": "mradermacher",
      "tags": [
        "reap",
        "pruning"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About         weighted/imatrix quants of https://huggingface.co/lkevincc0/Step-3.5-Flash-REAP-128B-A11B  ***For a convenient overview and download list, visit our model page for this model.*** static quants are available at https://huggingface.co/mradermacher/Step-3.5-Flash-REAP-128B-A11B-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: lkevincc0/Step-3.5-Flash-REAP-128B-A11B\ndatasets:\n- lkevincc0/glm47-math-code-calibration-1024\nlanguage:\n- en\nlibrary_name: transformers\nlicense: apache-2.0\nmradermacher:\n  readme_rev: 1\nquantized_by: mradermacher\ntags:\n- reap\n- pruning\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/lkevincc0/Step-3.5-Flash-REAP-128B-A11B\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#Step-3.5-Flash-REAP-128B-A11B-i1-GGUF).***\n\nstatic quants are available at https://huggingface.co/mradermacher/Step-3.5-Flash-REAP-128B-A11B-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/Step-3.5-Flash-REAP-128B-A11B-i1-GGUF/resolve/main/Step-3.5-Flash-REAP-128B-A11B.imatrix.gguf) | imatrix | 0.4 | imatrix file (for creating your own quants) |\n| [GGUF](https://huggingface.co/mradermacher/Step-3.5-Flash-REAP-128B-A11B-i1-GGUF/resolve/main/Step-3.5-Flash-REAP-128B-A11B.i1-IQ1_S.gguf) | i1-IQ1_S | 24.5 | for the desperate |\n| [GGUF](https://huggingface.co/mradermacher/Step-3.5-Flash-REAP-128B-A11B-i1-GGUF/resolve/main/Step-3.5-Flash-REAP-128B-A11B.i1-IQ1_M.gguf) | i1-IQ1_M | 27.2 | mostly desperate |\n| [GGUF](https://huggingface.co/mradermacher/Step-3.5-Flash-REAP-128B-A11B-i1-GGUF/resolve/main/Step-3.5-Flash-REAP-128B-A11B.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 31.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/Step-3.5-Flash-REAP-128B-A11B-i1-GGUF/resolve/main/Step-3.5-Flash-REAP-128B-A11B.i1-IQ2_XS.gguf) | i1-IQ2_XS | 35.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/Step-3.5-Flash-REAP-128B-A11B-i1-GGUF/resolve/main/Step-3.5-Flash-REAP-128B-A11B.i1-IQ2_S.gguf) | i1-IQ2_S | 36.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/Step-3.5-Flash-REAP-128B-A11B-i1-GGUF/resolve/main/Step-3.5-Flash-REAP-128B-A11B.i1-IQ2_M.gguf) | i1-IQ2_M | 39.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/Step-3.5-Flash-REAP-128B-A11B-i1-GGUF/resolve/main/Step-3.5-Flash-REAP-128B-A11B.i1-Q2_K_S.gguf) | i1-Q2_K_S | 40.7 | very low quality |\n| [GGUF](https://huggingface.co/mradermacher/Step-3.5-Flash-REAP-128B-A11B-i1-GGUF/resolve/main/Step-3.5-Flash-REAP-128B-A11B.i1-Q2_K.gguf) | i1-Q2_K | 44.3 | IQ3_XXS probably better |\n| [GGUF](https://huggingface.co/mradermacher/Step-3.5-Flash-REAP-128B-A11B-i1-GGUF/resolve/main/Step-3.5-Flash-REAP-128B-A11B.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 46.7 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Step-3.5-Flash-REAP-128B-A11B-i1-GGUF/resolve/main/Step-3.5-Flash-REAP-128B-A11B.i1-IQ3_XS.gguf) | i1-IQ3_XS | 49.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/Step-3.5-Flash-REAP-128B-A11B-i1-GGUF/resolve/main/Step-3.5-Flash-REAP-128B-A11B.i1-Q3_K_S.gguf) | i1-Q3_K_S | 52.4 | IQ3_XS probably better |\n| [GGUF](https://huggingface.co/mradermacher/Step-3.5-Flash-REAP-128B-A11B-i1-GGUF/resolve/main/Step-3.5-Flash-REAP-128B-A11B.i1-IQ3_S.gguf) | i1-IQ3_S | 52.4 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/Step-3.5-Flash-REAP-128B-A11B-i1-GGUF/resolve/main/Step-3.5-Flash-REAP-128B-A11B.i1-IQ3_M.gguf) | i1-IQ3_M | 53.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/Step-3.5-Flash-REAP-128B-A11B-i1-GGUF/resolve/main/Step-3.5-Flash-REAP-128B-A11B.i1-Q3_K_M.gguf) | i1-Q3_K_M | 57.8 | IQ3_S probably better |\n| [GGUF](https://huggingface.co/mradermacher/Step-3.5-Flash-REAP-128B-A11B-i1-GGUF/resolve/main/Step-3.5-Flash-REAP-128B-A11B.i1-Q3_K_L.gguf) | i1-Q3_K_L | 62.9 | IQ3_M probably better |\n| [GGUF](https://huggingface.co/mradermacher/Step-3.5-Flash-REAP-128B-A11B-i1-GGUF/resolve/main/Step-3.5-Flash-REAP-128B-A11B.i1-IQ4_XS.gguf) | i1-IQ4_XS | 64.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/Step-3.5-Flash-REAP-128B-A11B-i1-GGUF/resolve/main/Step-3.5-Flash-REAP-128B-A11B.i1-Q4_0.gguf) | i1-Q4_0 | 68.5 | fast, low quality |\n| [GGUF](https://huggingface.co/mradermacher/Step-3.5-Flash-REAP-128B-A11B-i1-GGUF/resolve/main/Step-3.5-Flash-REAP-128B-A11B.i1-Q4_K_S.gguf) | i1-Q4_K_S | 68.6 | optimal size/speed/quality |\n| [GGUF](https://huggingface.co/mradermacher/Step-3.5-Flash-REAP-128B-A11B-i1-GGUF/resolve/main/Step-3.5-Flash-REAP-128B-A11B.i1-Q4_K_M.gguf) | i1-Q4_K_M | 72.9 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Step-3.5-Flash-REAP-128B-A11B-i1-GGUF/resolve/main/Step-3.5-Flash-REAP-128B-A11B.i1-Q4_1.gguf) | i1-Q4_1 | 75.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/Step-3.5-Flash-REAP-128B-A11B-i1-GGUF/resolve/main/Step-3.5-Flash-REAP-128B-A11B.i1-Q5_K_S.gguf) | i1-Q5_K_S | 83.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/Step-3.5-Flash-REAP-128B-A11B-i1-GGUF/resolve/main/Step-3.5-Flash-REAP-128B-A11B.i1-Q5_K_M.gguf) | i1-Q5_K_M | 85.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/Step-3.5-Flash-REAP-128B-A11B-i1-GGUF/resolve/main/Step-3.5-Flash-REAP-128B-A11B.i1-Q6_K.gguf) | i1-Q6_K | 99.4 | 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",
    "reap",
    "pruning",
    "en",
    "dataset:lkevincc0/glm47-math-code-calibration-1024",
    "base_model:lkevincc0/Step-3.5-Flash-REAP-128B-A11B",
    "base_model:quantized:lkevincc0/Step-3.5-Flash-REAP-128B-A11B",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "imatrix",
    "conversational"
  ],
  "likes": 1,
  "downloads": 1336,
  "gated": false,
  "private": false,
  "last_modified": "2026-03-04T20:00:10.000Z",
  "created_at": "2026-03-03T15:24:11.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
{
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  "id": "mradermacher/Step-3.5-Flash-REAP-128B-A11B-i1-GGUF",
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  "sha": "5bbde2b6037aa2a157d4c256a55402585a8d55fe",
  "createdAt": "2026-03-03T15:24:11.000Z",
  "lastModified": "2026-03-04T20:00:10.000Z",
  "author": "mradermacher",
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