devquasar/fluently.fluentlyqwen3-coder-4b-0909-gguf Q3_K_S 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/fluently.fluentlyqwen3-coder-4b-0909-gguf overview
Quantized version of: fluently/FluentlyQwen3-Coder-4B-0909 'Make knowledge free for everyone' Made with
Downloads
401
Likes
0
Pipeline
text-generation
Library
—
Visibility
Public
Access
Open
Repository Files & Downloads
11 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| fluently.FluentlyQwen3-Coder-4B-0909.Q2_K.gguf | GGUF | Q2_K | 1.55 GB | Download |
| fluently.FluentlyQwen3-Coder-4B-0909.Q3_K_L.gguf | GGUF | Q3_K_L | 2.09 GB | Download |
| fluently.FluentlyQwen3-Coder-4B-0909.Q3_K_M.gguf | GGUF | Q3_K_M | 1.93 GB | Download |
| fluently.FluentlyQwen3-Coder-4B-0909.Q3_K_S.gguf | GGUF | Q3_K_S | 1.76 GB | Download |
| fluently.FluentlyQwen3-Coder-4B-0909.Q4_K_M.gguf | GGUF | Q4_K_M | 2.33 GB | Download |
| fluently.FluentlyQwen3-Coder-4B-0909.Q4_K_S.gguf | GGUF | Q4_K_S | 2.22 GB | Download |
| fluently.FluentlyQwen3-Coder-4B-0909.Q5_K_M.gguf | GGUF | Q5_K_M | 2.69 GB | Download |
| fluently.FluentlyQwen3-Coder-4B-0909.Q5_K_S.gguf | GGUF | Q5_K_S | 2.63 GB | Download |
| fluently.FluentlyQwen3-Coder-4B-0909.Q6_K.gguf | GGUF | Q6_K | 3.08 GB | Download |
| fluently.FluentlyQwen3-Coder-4B-0909.Q8_0.gguf | GGUF | — | 3.99 GB | Download |
| fluently.FluentlyQwen3-Coder-4B-0909.f16.gguf | GGUF | F16 | 7.50 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"base_model": [
"fluently/FluentlyQwen3-Coder-4B-0909"
],
"pipeline_tag": "text-generation",
"frontmatter": {
"base_model": [
"fluently/FluentlyQwen3-Coder-4B-0909"
],
"pipeline_tag": "text-generation"
},
"hero_image_url": "https://raw.githubusercontent.com/csabakecskemeti/devquasar/main/dq_logo_black-transparent.png",
"summary": "Quantized version of: fluently/FluentlyQwen3-Coder-4B-0909 'Make knowledge free for everyone' Made with",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "---\nbase_model:\n- fluently/FluentlyQwen3-Coder-4B-0909\npipeline_tag: text-generation\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: [fluently/FluentlyQwen3-Coder-4B-0909](https://huggingface.co/fluently/FluentlyQwen3-Coder-4B-0909)\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>\n",
"related_quantizations": []
},
"tags": [
"gguf",
"text-generation",
"base_model:fluently/FluentlyQwen3-Coder-4B-0909",
"base_model:quantized:fluently/FluentlyQwen3-Coder-4B-0909",
"endpoints_compatible",
"region:us",
"conversational"
],
"likes": 0,
"downloads": 401,
"gated": false,
"private": false,
"last_modified": "2025-09-15T17:45:47.000Z",
"created_at": "2025-09-15T17:29:31.000Z",
"pipeline_tag": "text-generation",
"library_name": ""
}
Source payload excerpt (from Hugging Face API)
{
"_id": "68c84cfb1775d3a066c4aeef",
"id": "DevQuasar/fluently.FluentlyQwen3-Coder-4B-0909-GGUF",
"modelId": "DevQuasar/fluently.FluentlyQwen3-Coder-4B-0909-GGUF",
"sha": "10a2e04cd35c8c022a9275dd07e0360e07eb0c8e",
"createdAt": "2025-09-15T17:29:31.000Z",
"lastModified": "2025-09-15T17:45:47.000Z",
"author": "DevQuasar",
"downloads": 401,
"likes": 0,
"gated": false,
"private": false,
"pipeline_tag": "text-generation",
"library_name": "",
"siblings_count": 13
}