mradermacher/Gemma3-27B-it-vl-Polaris-HI16-Heretic-Uncensored-INSTRUCT-i1-GGUF overview

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base_model: DavidAU/Gemma3-27B-it-vl-Polaris-HI16-Heretic-Uncensored-INSTRUCT

datasets:

• TeichAI/polaris-alpha-1000x

language:

• en
• fr
• de
• es
• it
• pt
• ru
• zh
• ja

library_name: transformers

mradermacher:

readme_rev: 1

quantized_by: mradermacher

tags:

• gemma3
• tuned instruct
• intelligence fine tuning
• heretic
• uncensored
• abliterated
• finetune
• creative
• creative writing
• fiction writing
• plot generation
• sub-plot generation
• fiction writing
• story generation
• scene continue
• storytelling
• fiction story
• science fiction
• romance
• all genres
• story
• writing
• vivid prose
• vivid writing
• fiction
• roleplaying
• bfloat16
• swearing
• rp
• unsloth
• context 128k

---

About

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weighted/imatrix quants of https://huggingface.co/DavidAU/Gemma3-27B-it-vl-Polaris-HI16-Heretic-Uncensored-INSTRUCT

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

static quants are available at https://huggingface.co/mradermacher/Gemma3-27B-it-vl-Polaris-HI16-Heretic-Uncensored-INSTRUCT-GGUF

This is a vision model - mmproj files (if any) will be in the static repository.

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 | imatrix | 0.1 | imatrix file (for creating your own quants) |

| GGUF | i1-IQ1_S | 6.4 | for the desperate |

| GGUF | i1-IQ1_M | 6.9 | mostly desperate |

| GGUF | i1-IQ2_XXS | 7.8 | |

| GGUF | i1-IQ2_XS | 8.5 | |

| GGUF | i1-IQ2_S | 8.9 | |

| GGUF | i1-IQ2_M | 9.6 | |

| GGUF | i1-Q2_K_S | 9.9 | very low quality |

| GGUF | i1-Q2_K | 10.6 | IQ3_XXS probably better |

| GGUF | i1-IQ3_XXS | 10.8 | lower quality |

| GGUF | i1-IQ3_XS | 11.7 | |

| GGUF | i1-IQ3_S | 12.3 | beats Q3_K* |

| GGUF | i1-Q3_K_S | 12.3 | IQ3_XS probably better |

| GGUF | i1-IQ3_M | 12.6 | |

| GGUF | i1-Q3_K_M | 13.5 | IQ3_S probably better |

| GGUF | i1-Q3_K_L | 14.6 | IQ3_M probably better |

| GGUF | i1-IQ4_XS | 14.9 | |

| GGUF | i1-Q4_0 | 15.7 | fast, low quality |

| GGUF | i1-Q4_K_S | 15.8 | optimal size/speed/quality |

| GGUF | i1-Q4_K_M | 16.6 | fast, recommended |

| GGUF | i1-Q4_1 | 17.3 | |

| GGUF | i1-Q5_K_S | 18.9 | |

| GGUF | i1-Q5_K_M | 19.4 | |

| GGUF | i1-Q6_K | 22.3 | practically like static Q6_K |

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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