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mradermacher/qwen3-30b-a3b-architect7-gguf overview

About static quants of https://huggingface.co/nightmedia/Qwen3-30B-A3B-Architect7 For a convenient overview and download list, visit our model page for this model. weighted/imatrix quants are available at https://huggingface.co/mradermacher/Qwen3-30B-A3B-Architect7-i1-GGUF

transformersggufcodingresearchdeep thinking256k contextQwen3All use casescreativecreative writingfiction writingplot generationsub-plot generationstory generationscene continuestorytellingfiction storyscience fictionall genresstorywritingvivid prosingvivid writingfictionroleplayingbfloat16finetunemergeenzh
mradermacher/qwen3-30b-a3b-architect7-gguf visual
Downloads
185
Likes
0
Pipeline
—
Library
transformers
Visibility
Public
Access
Open

Repository Files & Downloads

11 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
Qwen3-30B-A3B-Architect7.IQ4_XS.gguf GGUF IQ4_XS 15.42 GB Download
Qwen3-30B-A3B-Architect7.Q2_K.gguf GGUF Q2_K 10.48 GB Download
Qwen3-30B-A3B-Architect7.Q3_K_L.gguf GGUF Q3_K_L 14.81 GB Download
Qwen3-30B-A3B-Architect7.Q3_K_M.gguf GGUF Q3_K_M 13.70 GB Download
Qwen3-30B-A3B-Architect7.Q3_K_S.gguf GGUF Q3_K_S 12.38 GB Download
Qwen3-30B-A3B-Architect7.Q4_K_M.gguf GGUF Q4_K_M 17.28 GB Download
Qwen3-30B-A3B-Architect7.Q4_K_S.gguf GGUF Q4_K_S 16.26 GB Download
Qwen3-30B-A3B-Architect7.Q5_K_M.gguf GGUF Q5_K_M 20.23 GB Download
Qwen3-30B-A3B-Architect7.Q5_K_S.gguf GGUF Q5_K_S 19.63 GB Download
Qwen3-30B-A3B-Architect7.Q6_K.gguf GGUF Q6_K 23.37 GB Download
Qwen3-30B-A3B-Architect7.Q8_0.gguf GGUF — 30.25 GB Download

Model Details Live

Model Slug
mradermacher/qwen3-30b-a3b-architect7-gguf
Author
mradermacher
Pipeline Task
—
Library
transformers
Created
2025-12-23
Last Modified
2025-12-23
Gated
No
Private
No
HF SHA
04fcc0bfffa02fbb5d879626c71af5280629047d
License
apache-2.0
Language
en, zh
Base Model
nightmedia/Qwen3-30B-A3B-Architect7

Metadata Inspector

Normalized metadata (stored in metadata_json)
{
  "metadata": {},
  "card_data": {
    "base_model": "nightmedia/Qwen3-30B-A3B-Architect7",
    "language": [
      "en",
      "zh"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "mradermacher": {
      "readme_rev": 1
    },
    "quantized_by": "mradermacher",
    "tags": [
      "coding",
      "research",
      "deep thinking",
      "256k context",
      "Qwen3",
      "All use cases",
      "creative",
      "creative writing",
      "fiction writing",
      "plot generation",
      "sub-plot generation",
      "fiction writing",
      "story generation",
      "scene continue",
      "storytelling",
      "fiction story",
      "science fiction",
      "all genres",
      "story",
      "writing",
      "vivid prosing",
      "vivid writing",
      "fiction",
      "roleplaying",
      "bfloat16",
      "finetune",
      "merge"
    ],
    "frontmatter": {
      "base_model": "nightmedia/Qwen3-30B-A3B-Architect7",
      "language": [
        "en",
        "zh"
      ],
      "library_name": "transformers",
      "license": "apache-2.0",
      "mradermacher": [],
      "quantized_by": "mradermacher",
      "tags": [
        "coding",
        "research",
        "deep thinking",
        "256k context",
        "Qwen3",
        "All use cases",
        "creative",
        "creative writing",
        "fiction writing",
        "plot generation",
        "sub-plot generation",
        "fiction writing",
        "story generation",
        "scene continue",
        "storytelling",
        "fiction story",
        "science fiction",
        "all genres",
        "story",
        "writing",
        "vivid prosing",
        "vivid writing",
        "fiction",
        "roleplaying",
        "bfloat16",
        "finetune",
        "merge"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About         static quants of https://huggingface.co/nightmedia/Qwen3-30B-A3B-Architect7  ***For a convenient overview and download list, visit our model page for this model.*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/Qwen3-30B-A3B-Architect7-i1-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: nightmedia/Qwen3-30B-A3B-Architect7\nlanguage:\n- en\n- zh\nlibrary_name: transformers\nlicense: apache-2.0\nmradermacher:\n  readme_rev: 1\nquantized_by: mradermacher\ntags:\n- coding\n- research\n- deep thinking\n- 256k context\n- Qwen3\n- All use cases\n- creative\n- creative writing\n- fiction writing\n- plot generation\n- sub-plot generation\n- fiction writing\n- story generation\n- scene continue\n- storytelling\n- fiction story\n- science fiction\n- all genres\n- story\n- writing\n- vivid prosing\n- vivid writing\n- fiction\n- roleplaying\n- bfloat16\n- finetune\n- merge\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/nightmedia/Qwen3-30B-A3B-Architect7\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#Qwen3-30B-A3B-Architect7-GGUF).***\n\nweighted/imatrix quants are available at https://huggingface.co/mradermacher/Qwen3-30B-A3B-Architect7-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/Qwen3-30B-A3B-Architect7-GGUF/resolve/main/Qwen3-30B-A3B-Architect7.Q2_K.gguf) | Q2_K | 11.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-30B-A3B-Architect7-GGUF/resolve/main/Qwen3-30B-A3B-Architect7.Q3_K_S.gguf) | Q3_K_S | 13.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-30B-A3B-Architect7-GGUF/resolve/main/Qwen3-30B-A3B-Architect7.Q3_K_M.gguf) | Q3_K_M | 14.8 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-30B-A3B-Architect7-GGUF/resolve/main/Qwen3-30B-A3B-Architect7.Q3_K_L.gguf) | Q3_K_L | 16.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-30B-A3B-Architect7-GGUF/resolve/main/Qwen3-30B-A3B-Architect7.IQ4_XS.gguf) | IQ4_XS | 16.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-30B-A3B-Architect7-GGUF/resolve/main/Qwen3-30B-A3B-Architect7.Q4_K_S.gguf) | Q4_K_S | 17.6 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-30B-A3B-Architect7-GGUF/resolve/main/Qwen3-30B-A3B-Architect7.Q4_K_M.gguf) | Q4_K_M | 18.7 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-30B-A3B-Architect7-GGUF/resolve/main/Qwen3-30B-A3B-Architect7.Q5_K_S.gguf) | Q5_K_S | 21.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-30B-A3B-Architect7-GGUF/resolve/main/Qwen3-30B-A3B-Architect7.Q5_K_M.gguf) | Q5_K_M | 21.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-30B-A3B-Architect7-GGUF/resolve/main/Qwen3-30B-A3B-Architect7.Q6_K.gguf) | Q6_K | 25.2 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-30B-A3B-Architect7-GGUF/resolve/main/Qwen3-30B-A3B-Architect7.Q8_0.gguf) | Q8_0 | 32.6 | fast, best quality |\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",
    "coding",
    "research",
    "deep thinking",
    "256k context",
    "Qwen3",
    "All use cases",
    "creative",
    "creative writing",
    "fiction writing",
    "plot generation",
    "sub-plot generation",
    "story generation",
    "scene continue",
    "storytelling",
    "fiction story",
    "science fiction",
    "all genres",
    "story",
    "writing",
    "vivid prosing",
    "vivid writing",
    "fiction",
    "roleplaying",
    "bfloat16",
    "finetune",
    "merge",
    "en",
    "zh",
    "base_model:nightmedia/Qwen3-30B-A3B-Architect7",
    "base_model:quantized:nightmedia/Qwen3-30B-A3B-Architect7",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 0,
  "downloads": 185,
  "gated": false,
  "private": false,
  "last_modified": "2025-12-23T12:17:27.000Z",
  "created_at": "2025-12-23T09:31:36.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
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