mannix-ita/qwen3.5-27b-omnimerge-v2-gguf Q4_0 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.
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mannix-ita/qwen3.5-27b-omnimerge-v2-gguf overview
GGUF quantizations of ManniX-ITA/Qwen3.5-27B-Omnimerge-v2 — a 3-way weight-space merge using the Omnimerge v2 method (OBIM + DAREx + EMR). V2 outperforms v1 across all benchmarks, with +8 pp on GPQA Diamond reasoning and +16 pp over the best source model.
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| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| Qwen3.5-27B-Omnimerge-v2-Q3_K_L.gguf | GGUF | Q3_K_L | 14.40 GB | Download |
| Qwen3.5-27B-Omnimerge-v2-Q3_K_M.gguf | GGUF | Q3_K_M | 12.39 GB | Download |
| Qwen3.5-27B-Omnimerge-v2-Q3_K_S.gguf | GGUF | Q3_K_S | 11.24 GB | Download |
| Qwen3.5-27B-Omnimerge-v2-Q3_K_XL.gguf | GGUF | Q3_K_XL | 14.40 GB | Download |
| Qwen3.5-27B-Omnimerge-v2-Q4_0.gguf | GGUF | — | 14.41 GB | Download |
| Qwen3.5-27B-Omnimerge-v2-Q4_1.gguf | GGUF | — | 15.91 GB | Download |
| Qwen3.5-27B-Omnimerge-v2-Q4_K_L.gguf | GGUF | Q4_K_L | 16.29 GB | Download |
| Qwen3.5-27B-Omnimerge-v2-Q4_K_M.gguf | GGUF | Q4_K_M | 15.41 GB | Download |
| Qwen3.5-27B-Omnimerge-v2-Q4_K_S.gguf | GGUF | Q4_K_S | 14.52 GB | Download |
| Qwen3.5-27B-Omnimerge-v2-Q5_K_L.gguf | GGUF | Q5_K_L | 18.64 GB | Download |
| Qwen3.5-27B-Omnimerge-v2-Q5_K_M.gguf | GGUF | Q5_K_M | 17.91 GB | Download |
| Qwen3.5-27B-Omnimerge-v2-Q5_K_S.gguf | GGUF | Q5_K_S | 17.40 GB | Download |
| Qwen3.5-27B-Omnimerge-v2-Q6_K.gguf | GGUF | Q6_K | 20.57 GB | Download |
| Qwen3.5-27B-Omnimerge-v2-Q6_K_L.gguf | GGUF | Q6_K_L | 21.14 GB | Download |
| Qwen3.5-27B-Omnimerge-v2-Q8_0.gguf | GGUF | — | 26.63 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"base_model": "ManniX-ITA/Qwen3.5-27B-Omnimerge-v2",
"tags": [
"gguf",
"quantized",
"merge",
"omnimerge-v2",
"qwen3.5",
"reasoning"
],
"license": "apache-2.0",
"frontmatter": {
"base_model": "ManniX-ITA/Qwen3.5-27B-Omnimerge-v2",
"tags": [
"gguf",
"quantized",
"merge",
"omnimerge-v2",
"qwen3.5",
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],
"license": "apache-2.0"
},
"hero_image_url": "",
"summary": "GGUF quantizations of ManniX-ITA/Qwen3.5-27B-Omnimerge-v2 — a 3-way weight-space merge using the **Omnimerge v2** method (OBIM + DAREx + EMR). **V2 outperforms v1 across all benchmarks, with +8 pp on GPQA Diamond reasoning and +16 pp over the best source model.**",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "---\nbase_model: ManniX-ITA/Qwen3.5-27B-Omnimerge-v2\ntags:\n - gguf\n - quantized\n - merge\n - omnimerge-v2\n - qwen3.5\n - reasoning\nlicense: apache-2.0\n---\n\n# Qwen3.5-27B-Omnimerge-v2-GGUF\n\nGGUF quantizations of [ManniX-ITA/Qwen3.5-27B-Omnimerge-v2](https://huggingface.co/ManniX-ITA/Qwen3.5-27B-Omnimerge-v2) — a 3-way weight-space merge using the **Omnimerge v2** method (OBIM + DAREx + EMR).\n\n**V2 outperforms v1 across all benchmarks, with +8 pp on GPQA Diamond reasoning and +16 pp over the best source model.**\n\n## Benchmark Results (Q6_K)\n\n| Benchmark | Omnimerge v1 | **Omnimerge v2** | Best source (Claude-distill) |\n|---|---|---|---|\n| **GPQA Diamond** (198q, flex) | 61.11% | **69.19% (+8.08 pp)** | 53.03% |\n| **MBPP** pass@1 | 71.80% | **74.60% (+2.80 pp)** | 71.20% |\n| **HumanEval** pass@1 | 79.88% | 79.27% (-0.61 pp) | 76.22% |\n\n## Recommended Usage\n\n```bash\nllama-server -m Qwen3.5-27B-Omnimerge-v2-Q6_K.gguf -c 32768 -ngl 99 \\\n --reasoning-format deepseek --reasoning-budget 16384 \\\n --temp 0.6 --top-p 0.95 --top-k 20 --dry-multiplier 0.5\n```\n\n## Source Models\n\n| Source | Weight |\n|---|---|\n| [Jackrong/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled](https://huggingface.co/Jackrong/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled) | 0.40 |\n| [ValiantLabs/Qwen3.5-27B-Esper3.1](https://huggingface.co/ValiantLabs/Qwen3.5-27B-Esper3.1) | 0.35 |\n| [Jackrong/Qwen3.5-27B-Gemini-3.1-Pro-Reasoning-Distill](https://huggingface.co/Jackrong/Qwen3.5-27B-Gemini-3.1-Pro-Reasoning-Distill) | 0.25 |\n\nSee the [model card](https://huggingface.co/ManniX-ITA/Qwen3.5-27B-Omnimerge-v2) for full methodology.\n\n## License\n\nApache-2.0\n",
"related_quantizations": []
},
"tags": [
"gguf",
"quantized",
"merge",
"omnimerge-v2",
"qwen3.5",
"reasoning",
"base_model:ManniX-ITA/Qwen3.5-27B-Omnimerge-v2",
"base_model:quantized:ManniX-ITA/Qwen3.5-27B-Omnimerge-v2",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
],
"likes": 0,
"downloads": 703,
"gated": false,
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"last_modified": "2026-04-13T14:24:59.000Z",
"created_at": "2026-04-13T09:28:24.000Z",
"pipeline_tag": "",
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}
Source payload excerpt (from Hugging Face API)
{
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"id": "ManniX-ITA/Qwen3.5-27B-Omnimerge-v2-GGUF",
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"sha": "8db379c01d4cb5252509c1e6fe4fe365c3a213ff",
"createdAt": "2026-04-13T09:28:24.000Z",
"lastModified": "2026-04-13T14:24:59.000Z",
"author": "ManniX-ITA",
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"siblings_count": 17
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