mradermacher/Qwen3.6-27B-Architect-Polaris2-Fable-B-F451-F32-GGUF overview

---

base_model: nightmedia/Qwen3.6-27B-Architect-Polaris2-Fable-B-F451-F32

language:

• en
• zh
• ja
• es

library_name: transformers

license: apache-2.0

mradermacher:

readme_rev: 1

quantized_by: mradermacher

tags:

• transformers
• coding
• research
• unsloth
• qwen3_5
• qwen3_6
• qwen
• fable
• qwen3.6
• qwen3.5
• claude4.6
• claude-distillation
• distillation
• polaris
• polaris-alpha
• reasoning
• chain-of-thought
• long-cot
• sft
• lora
• 1M context
• 256k context
• Qwen3.6
• All use cases
• instruction-tuned
• conversational
• text-generation
• multilingual
• math
• stem
• coding
• research
• experimental
• nvfp4
• creative
• creative writing
• fiction writing
• plot generation
• sub-plot generation
• fiction writing
• story generation
• scene continue
• storytelling
• fiction story
• science fiction
• all genres
• story
• writing
• vivid prosing
• vivid writing
• fiction
• bf16
• roleplaying
• mergekit
• merge
• mlx

---

About

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static quants of https://huggingface.co/nightmedia/Qwen3.6-27B-Architect-Polaris2-Fable-B-F451-F32

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For a convenient overview and download list, visit our model page for this model.

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Qwen3.6-27B-Architect-Polaris2-Fable-B-F451-F32-i1-GGUF

Usage

If you are unsure how to use GGUF files, refer to one of [TheBloke's

READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) 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 | mmproj-Q8_0 | 0.7 | multi-modal supplement |

| GGUF | mmproj-f16 | 1.0 | multi-modal supplement |

| GGUF | Q2_K | 11.0 | |

| GGUF | Q3_K_S | 12.4 | |

| GGUF | Q3_K_M | 13.6 | lower quality |

| GGUF | Q3_K_L | 14.7 | |

| GGUF | IQ4_XS | 15.5 | |

| GGUF | Q4_K_S | 15.9 | fast, recommended |

| GGUF | Q4_K_M | 16.9 | fast, recommended |

| GGUF | Q5_K_S | 19.1 | |

| GGUF | Q5_K_M | 19.6 | |

| GGUF | Q6_K | 22.5 | very good quality |

| GGUF | Q8_0 | 29.1 | fast, best quality |

Here is a handy graph by ikawrakow comparing some lower-quality quant

types (lower is better):

!image.png

And here are Artefact2's thoughts on the matter:

https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9

FAQ / Model Request

See https://huggingface.co/mradermacher/model_requests for some answers to

questions you might have and/or if you want some other model quantized.

Thanks

I thank my company, nethype GmbH, for letting

me use its servers and providing upgrades to my workstation to enable

this work in my free time. Additional thanks to @nicoboss for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.

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