mradermacher/Gemma3.Novaciano-1B-GGUF overview

---

base_model: NovaCorp/Gemma3.Novaciano-1B

datasets:

• TeichAI/glm-4.7-2000x
• chimbiwide/RolePlay-NPCv2
• berkeruveyik/toxic-speech-annotated-dataset
• mlabonne/FineTome-100k
• ITCL/FineTomeOs
• Gryphe/ChatGPT-4o-Writing-Prompts
• dongguanting/ARPO-SFT-54K
• GreenerPastures/All-Your-Base-Full
• Gryphe/Opus-WritingPrompts
• HuggingFaceH4/MATH-500
• mlabonne/smoltalk-flat
• mlabonne/natural_reasoning-formatted
• OpenSPG/KAG-Thinker-training-dataset
• uclanlp/Brief-Pro
• CognitiveKernel/CognitiveKernel-Pro-SFT
• SuperbEmphasis/Claude-4.0-DeepSeek-R1-RP-SFWish
• QuixiAI/dolphin-r1
• mlabonne/lmsys-arena-human-sft-55k

language:

• tr
• ar
• af
• az
• es
• en
• el
• ro
• ru
• rm
• th
• uk
• uz
• pl
• pt
• fa
• sk
• sl
• da
• de
• nl
• fr
• fi
• ka
• hi
• hu
• hy
• ja
• kk
• kn
• ko
• ku
• ky
• la
• lb
• id
• is
• it
• zh
• cs
• vi
• be
• bg
• bs
• ne
• mn

library_name: transformers

license: gemma

mradermacher:

readme_rev: 1

quantized_by: mradermacher

tags:

• npc
• roleplay
• rp
• nsfw
• low-refusals
• uncensored
• heretic
• abliterated
• unsloth
• finetune
• all use cases
• bfloat16
• creative
• creative writing
• fiction writing
• plot generation
• sub-plot generation
• fiction writing
• story generation
• scene continue
• storytelling
• fiction story
• science fiction
• romance
• slice of life
• all genres
• story
• writing
• vivid prosing
• vivid writing
• fiction
• text-generation
• transformers
• safetensors
• gemma3
• karcher mean
• uncensored
• heretic
• roleplay
• nsfw
• virus
• t-virus
• low-end
• conversational
• heretic
• uncensored
• decensored
• abliterated
• finetune
• merge
• not-for-all-audiences

---

About

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static quants of https://huggingface.co/NovaCorp/Gemma3.Novaciano-1B

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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/Gemma3.Novaciano-1B-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 | Q3_K_S | 0.8 | |

| GGUF | Q2_K | 0.8 | |

| GGUF | IQ4_XS | 0.8 | |

| GGUF | Q3_K_M | 0.8 | lower quality |

| GGUF | Q3_K_L | 0.9 | |

| GGUF | Q4_K_S | 0.9 | fast, recommended |

| GGUF | Q4_K_M | 0.9 | fast, recommended |

| GGUF | Q5_K_S | 0.9 | |

| GGUF | Q5_K_M | 1.0 | |

| GGUF | Q6_K | 1.1 | very good quality |

| GGUF | Q8_0 | 1.2 | fast, best quality |

| GGUF | f16 | 2.1 | 16 bpw, overkill |

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.

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