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