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devquasar/qwen.qwen3.5-4b-gguf Q3_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

devquasar/qwen.qwen3.5-4b-gguf overview

Quantized version of: Qwen/Qwen3.5-4B 'Make knowledge free for everyone' Made with

ggufimage-text-to-textbase_model:Qwen/Qwen3.5-4Bbase_model:quantized:Qwen/Qwen3.5-4Bendpoints_compatibleregion:usconversational
devquasar/qwen.qwen3.5-4b-gguf visual
Downloads
199
Likes
0
Pipeline
image-text-to-text
Library
Visibility
Public
Access
Open

Repository Files & Downloads

12 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
Qwen.Qwen3.5-4B.Q2_K.gguf GGUF Q2_K 1.67 GB Download
Qwen.Qwen3.5-4B.Q3_K_L.gguf GGUF Q3_K_L 2.20 GB Download
Qwen.Qwen3.5-4B.Q3_K_M.gguf GGUF Q3_K_M 2.10 GB Download
Qwen.Qwen3.5-4B.Q3_K_S.gguf GGUF Q3_K_S 1.93 GB Download
Qwen.Qwen3.5-4B.Q4_K_M.gguf GGUF Q4_K_M 2.52 GB Download
Qwen.Qwen3.5-4B.Q4_K_S.gguf GGUF Q4_K_S 2.38 GB Download
Qwen.Qwen3.5-4B.Q5_K_M.gguf GGUF Q5_K_M 2.90 GB Download
Qwen.Qwen3.5-4B.Q5_K_S.gguf GGUF Q5_K_S 2.78 GB Download
Qwen.Qwen3.5-4B.Q6_K.gguf GGUF Q6_K 3.23 GB Download
Qwen.Qwen3.5-4B.Q8_0.gguf GGUF 4.17 GB Download
Qwen.Qwen3.5-4B.f16.gguf GGUF F16 7.85 GB Download
mmproj-Qwen.Qwen3.5-4B.f16.gguf GGUF F16 641.27 MB Download

Model Details Live

Model Slug
devquasar/qwen.qwen3.5-4b-gguf
Author
DevQuasar
Pipeline Task
image-text-to-text
Library
Created
2026-03-02
Last Modified
2026-03-03
Gated
No
Private
No
HF SHA
9ecca6549fcaffc3b9c93cc47cb3a21b4fbfdeff
License
Unknown
Language
Unknown
Base Model
Qwen/Qwen3.5-4B

Metadata Inspector

Normalized metadata (stored in metadata_json)
{
  "metadata": {},
  "card_data": {
    "base_model": [
      "Qwen/Qwen3.5-4B"
    ],
    "pipeline_tag": "image-text-to-text",
    "frontmatter": {
      "base_model": [
        "Qwen/Qwen3.5-4B"
      ],
      "pipeline_tag": "image-text-to-text"
    },
    "hero_image_url": "https://raw.githubusercontent.com/csabakecskemeti/devquasar/main/dq_logo_black-transparent.png",
    "summary": "Quantized version of: Qwen/Qwen3.5-4B 'Make knowledge free for everyone'  Made with",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model:\n- Qwen/Qwen3.5-4B\npipeline_tag: image-text-to-text\n---\n\n[<img src=\"https://raw.githubusercontent.com/csabakecskemeti/devquasar/main/dq_logo_black-transparent.png\" width=\"200\"/>](https://devquasar.com)\n\nQuantized version of: [Qwen/Qwen3.5-4B](https://huggingface.co/Qwen/Qwen3.5-4B)\n\n'Make knowledge free for everyone'\n\n<p align=\"center\">\n  Made with <br>\n  <a href=\"https://www.civo.com/\" target=\"_blank\">\n    <img src=\"https://www.civo.com/assets/public/brand-assets/civo-logo-colour-60cc1622dedf346f7afde1fff760523f731b0aac106a5465af98ff4073114b74.svg\" width=\"100\"/>\n  </a>\n</p>\n\n<a href='https://ko-fi.com/L4L416YX7C' target='_blank'><img height='36' style='border:0px;height:36px;' src='https://storage.ko-fi.com/cdn/kofi6.png?v=6' border='0' alt='Buy Me a Coffee at ko-fi.com' /></a>",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "image-text-to-text",
    "base_model:Qwen/Qwen3.5-4B",
    "base_model:quantized:Qwen/Qwen3.5-4B",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 0,
  "downloads": 199,
  "gated": false,
  "private": false,
  "last_modified": "2026-03-03T02:36:55.000Z",
  "created_at": "2026-03-02T15:13:01.000Z",
  "pipeline_tag": "image-text-to-text",
  "library_name": ""
}
Source payload excerpt (from Hugging Face API)
{
  "_id": "69a5a8fd4cc24d11e668dc53",
  "id": "DevQuasar/Qwen.Qwen3.5-4B-GGUF",
  "modelId": "DevQuasar/Qwen.Qwen3.5-4B-GGUF",
  "sha": "9ecca6549fcaffc3b9c93cc47cb3a21b4fbfdeff",
  "createdAt": "2026-03-02T15:13:01.000Z",
  "lastModified": "2026-03-03T02:36:55.000Z",
  "author": "DevQuasar",
  "downloads": 199,
  "likes": 0,
  "gated": false,
  "private": false,
  "pipeline_tag": "image-text-to-text",
  "library_name": "",
  "siblings_count": 14
}