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spiritfather/Melinoe-Qwen3-8-27B-VL-GGUF overview

About static quants of https://huggingface.co/bgg1996/Melinoe Qwen3 8 27B VL Benchmarked on CaliperBench https://caliperbench.com — a creative writing benchmar…

transformersgguftext-generationcreative-writingenbase_model:bgg1996/Melinoe-Qwen3-8-27B-VLbase_model:quantized:bgg1996/Melinoe-Qwen3-8-27B-VLlicense:apache-2.0endpoints_compatibleregion:usconversational

Runs locally from ~888.0 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

Downloads
350
Likes
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Pipeline
text-generation

Repository Files & Downloads

11 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
Melinoe-Qwen3-8-27B-VL.Q2_K.ggufGGUFGGUF10.12 GBDownload
Melinoe-Qwen3-8-27B-VL.Q3_K_L.ggufGGUFGGUF13.56 GBDownload
Melinoe-Qwen3-8-27B-VL.Q3_K_M.ggufGGUFGGUF12.57 GBDownload
Melinoe-Qwen3-8-27B-VL.Q3_K_S.ggufGGUFGGUF11.41 GBDownload
Melinoe-Qwen3-8-27B-VL.Q4_K_M.ggufGGUFGGUF15.66 GBDownload
Melinoe-Qwen3-8-27B-VL.Q4_K_S.ggufGGUFGGUF14.74 GBDownload
Melinoe-Qwen3-8-27B-VL.Q5_K_M.ggufGGUFGGUF18.19 GBDownload
Melinoe-Qwen3-8-27B-VL.Q5_K_S.ggufGGUFGGUF17.67 GBDownload
Melinoe-Qwen3-8-27B-VL.Q6_K.ggufGGUFGGUF20.89 GBDownload
Melinoe-Qwen3-8-27B-VL.Q8_0.ggufGGUFGGUF27.05 GBDownload
mmproj-Melinoe-Qwen3-8-27B-VL-BF16.ggufGGUFBF16888.0 MBDownload

Model Details

Model IDspiritfather/Melinoe-Qwen3-8-27B-VL-GGUF
Authorspiritfather
Pipelinetext-generation
Licenseapache-2.0
Base modelbgg1996/Melinoe-Qwen3-8-27B-VL
Last modified2026-10-20T02:13:42.000Z

Model README

---

base_model: bgg1996/Melinoe-Qwen3-8-27B-VL

language:

  • en

library_name: transformers

license: apache-2.0

quantized_by: spiritfather

tags:

  • text-generation
  • creative-writing
  • gguf

---

About

static quants of https://huggingface.co/bgg1996/Melinoe-Qwen3-8-27B-VL

> Benchmarked on CaliperBench — a creative-writing benchmark scoring prose craft, roleplay and willingness rather than general intelligence. See this model's scores: caliperbench.com/m/melinoe-qwen3.8-27b-vl.

> Vision: this is a VL model. llama.cpp keeps the vision tower OUT of the main GGUF, so multimodal use needs mmproj-Melinoe-Qwen3-8-27B-VL-BF16.gguf alongside your chosen quant (llama-server -m <quant>.gguf --mmproj mmproj-Melinoe-Qwen3-8-27B-VL-BF16.gguf). Text-only use needs just the quant.

<!-- provided-files -->

Usage

If you are unsure how to use GGUF files, refer to one of TheBloke's READMEs for more details, including on how to concatenate multi-part files.

Provided Quants

(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)

| Link | Type | Size/GB | Notes |

|:-----|:-----|--------:|:------|

| GGUF | Q2_K | 10.9 | |

| GGUF | Q3_K_S | 12.3 | |

| GGUF | Q3_K_M | 13.5 | lower quality |

| GGUF | Q3_K_L | 14.6 | |

| GGUF | Q4_K_S | 15.8 | fast, recommended |

| GGUF | Q4_K_M | 16.8 | fast, recommended |

| GGUF | Q5_K_S | 19.0 | |

| GGUF | Q5_K_M | 19.5 | |

| GGUF | Q6_K | 22.4 | very good quality |

| GGUF | Q8_0 | 29.0 | fast, best quality |

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