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.ggufalongside your chosen quant (llama-server -m <quant>.gguf --mmproj mmproj-Melinoe-Qwen3-8-27B-VL-BF16.gguf). Text-only use needs just the quant.
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 |