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bgg1996/melinoe-qwen3-5-27b-vl-q4_k_m-gguf Q4_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

bgg1996/melinoe-qwen3-5-27b-vl-q4_k_m-gguf overview

This model was converted to GGUF format from bgg1996/Melinoe-Qwen3-5-27B-VL using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

ggufllama-cppgguf-my-repobase_model:bgg1996/Melinoe-Qwen3-5-27B-VLbase_model:quantized:bgg1996/Melinoe-Qwen3-5-27B-VLendpoints_compatibleregion:usconversational
bgg1996/melinoe-qwen3-5-27b-vl-q4_k_m-gguf visual
Downloads
121
Likes
0
Pipeline
Library
Visibility
Public
Access
Open

Repository Files & Downloads

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Direct downloads for all repository files
FileTypeQuantizationSizeLink
melinoe-qwen3-5-27b-vl-q4_k_m.gguf GGUF Q4_K_M 15.41 GB Download

Model Details Live

Model Slug
bgg1996/melinoe-qwen3-5-27b-vl-q4_k_m-gguf
Author
bgg1996
Pipeline Task
Library
Created
2026-04-13
Last Modified
2026-04-13
Gated
No
Private
No
HF SHA
e74152bdde771d87b3cfb67d3ccecffcd1f31fb4
License
Unknown
Language
Unknown
Base Model
bgg1996/Melinoe-Qwen3-5-27B-VL

Metadata Inspector

Normalized metadata (stored in metadata_json)
{
  "metadata": {},
  "card_data": {
    "base_model": "bgg1996/Melinoe-Qwen3-5-27B-VL",
    "tags": [
      "llama-cpp",
      "gguf-my-repo"
    ],
    "frontmatter": {
      "base_model": "bgg1996/Melinoe-Qwen3-5-27B-VL",
      "tags": [
        "llama-cpp",
        "gguf-my-repo"
      ]
    },
    "hero_image_url": "",
    "summary": "This model was converted to GGUF format from bgg1996/Melinoe-Qwen3-5-27B-VL using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: bgg1996/Melinoe-Qwen3-5-27B-VL\ntags:\n- llama-cpp\n- gguf-my-repo\n---\n\n# bgg1996/Melinoe-Qwen3-5-27B-VL-Q4_K_M-GGUF\nThis model was converted to GGUF format from [`bgg1996/Melinoe-Qwen3-5-27B-VL`](https://huggingface.co/bgg1996/Melinoe-Qwen3-5-27B-VL) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.\nRefer to the [original model card](https://huggingface.co/bgg1996/Melinoe-Qwen3-5-27B-VL) for more details on the model.\n\n## Use with llama.cpp\nInstall llama.cpp through brew (works on Mac and Linux)\n\n```bash\nbrew install llama.cpp\n\n```\nInvoke the llama.cpp server or the CLI.\n\n### CLI:\n```bash\nllama-cli --hf-repo bgg1996/Melinoe-Qwen3-5-27B-VL-Q4_K_M-GGUF --hf-file melinoe-qwen3-5-27b-vl-q4_k_m.gguf -p \"The meaning to life and the universe is\"\n```\n\n### Server:\n```bash\nllama-server --hf-repo bgg1996/Melinoe-Qwen3-5-27B-VL-Q4_K_M-GGUF --hf-file melinoe-qwen3-5-27b-vl-q4_k_m.gguf -c 2048\n```\n\nNote: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.\n\nStep 1: Clone llama.cpp from GitHub.\n```\ngit clone https://github.com/ggerganov/llama.cpp\n```\n\nStep 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).\n```\ncd llama.cpp && LLAMA_CURL=1 make\n```\n\nStep 3: Run inference through the main binary.\n```\n./llama-cli --hf-repo bgg1996/Melinoe-Qwen3-5-27B-VL-Q4_K_M-GGUF --hf-file melinoe-qwen3-5-27b-vl-q4_k_m.gguf -p \"The meaning to life and the universe is\"\n```\nor\n```\n./llama-server --hf-repo bgg1996/Melinoe-Qwen3-5-27B-VL-Q4_K_M-GGUF --hf-file melinoe-qwen3-5-27b-vl-q4_k_m.gguf -c 2048\n```\n",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "llama-cpp",
    "gguf-my-repo",
    "base_model:bgg1996/Melinoe-Qwen3-5-27B-VL",
    "base_model:quantized:bgg1996/Melinoe-Qwen3-5-27B-VL",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 0,
  "downloads": 121,
  "gated": false,
  "private": false,
  "last_modified": "2026-04-13T01:41:06.000Z",
  "created_at": "2026-04-13T01:40:16.000Z",
  "pipeline_tag": "",
  "library_name": ""
}
Source payload excerpt (from Hugging Face API)
{
  "_id": "69dc4980bdc01eb25a3f57b4",
  "id": "bgg1996/Melinoe-Qwen3-5-27B-VL-Q4_K_M-GGUF",
  "modelId": "bgg1996/Melinoe-Qwen3-5-27B-VL-Q4_K_M-GGUF",
  "sha": "e74152bdde771d87b3cfb67d3ccecffcd1f31fb4",
  "createdAt": "2026-04-13T01:40:16.000Z",
  "lastModified": "2026-04-13T01:41:06.000Z",
  "author": "bgg1996",
  "downloads": 121,
  "likes": 0,
  "gated": false,
  "private": false,
  "pipeline_tag": "",
  "library_name": "",
  "siblings_count": 3
}