Shadow9564/SEX_ROLEPLAY_V3-3.2-1B-i1-GGUF overview

---

base_model: Novaciano/SEX_ROLEPLAY_V3-3.2-1B

datasets:

• WasamiKirua/Her-Samantha-Style
• HuggingFaceTB/smoltalk
• Guilherme34/uncensor
• teknium/OpenHermes-2.5
• passing2961/multifaceted-skill-of-mind
• PawanKrd/math-gpt-4o-200k
• V3N0M/Jenna-50K-Alpaca-Uncensored
• cognitivecomputations/dolphin-coder
• mlabonne/FineTome-100k
• microsoft/orca-math-word-problems-200k
• CarrotAI/ko-instruction-dataset
• Salesforce/xlam-function-calling-60k
• anthracite-org/kalo-opus-instruct-22k-no-refusal
• anthracite-org/stheno-filtered-v1.1
• anthracite-org/nopm_claude_writing_fixed
• AiAF/SCPWiki-Archive-02-March-2025-Datasets
• huihui-ai/QWQ-LONGCOT-500K
• huihui-ai/LONGCOT-Refine-500K
• Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned
• Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned
• alexandreteles/AlpacaToxicQA_ShareGPT
• Nitral-AI/Active_RP-ShareGPT
• PJMixers/hieunguyenminh_roleplay-deduped-ShareGPT
• Nitral-AI/RP_Alignment-ShareGPT
• Chaser-cz/sonnet35-charcard-roleplay-sharegpt
• AiCloser/sharegpt_cot_dataset
• PJMixers/Gryphe_Opus-WritingPrompts-Story2Prompt-ShareGPT
• priveeai/pippa_sharegpt
• Locutusque/sharegpt_gpt4_uncensored_cleaned
• OpenCoder-LLM/opc-sft-stage1
• OpenCoder-LLM/opc-sft-stage2
• microsoft/orca-agentinstruct-1M-v1
• NousResearch/hermes-function-calling-v1
• AI-MO/NuminaMath-CoT
• AI-MO/NuminaMath-TIR
• allenai/tulu-3-sft-mixture
• cognitivecomputations/samantha-data
• m-a-p/CodeFeedback-Filtered-Instruction
• m-a-p/Code-Feedback
• FreedomIntelligence/medical-o1-reasoning-SFT

language:

• es
• en

library_name: transformers

license: apache-2.0

mradermacher:

readme_rev: 1

quantized_by: mradermacher

tags:

• mergekit
• merge
• rp
• roleplay
• gguf
• 1b
• 4-bit
• nsfw
• uncensored
• sillytavern
• koboldcpp
• not-for-all-audiences

---

About

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weighted/imatrix quants of https://huggingface.co/Novaciano/SEX_ROLEPLAY_V3-3.2-1B

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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/SEX_ROLEPLAY_V3-3.2-1B-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 | imatrix | 0.1 | imatrix file (for creating your own quants) |

| GGUF | i1-IQ1_S | 0.6 | for the desperate |

| GGUF | i1-IQ1_M | 0.6 | mostly desperate |

| GGUF | i1-IQ2_XXS | 0.6 | |

| GGUF | i1-IQ2_XS | 0.7 | |

| GGUF | i1-IQ2_S | 0.7 | |

| GGUF | i1-IQ2_M | 0.7 | |

| GGUF | i1-Q2_K_S | 0.7 | very low quality |

| GGUF | i1-Q2_K | 0.8 | IQ3_XXS probably better |

| GGUF | i1-IQ3_XXS | 0.8 | lower quality |

| GGUF | i1-IQ3_XS | 0.8 | |

| GGUF | i1-Q3_K_S | 0.9 | IQ3_XS probably better |

| GGUF | i1-IQ3_S | 0.9 | beats Q3_K* |

| GGUF | i1-IQ3_M | 0.9 | |

| GGUF | i1-Q3_K_M | 0.9 | IQ3_S probably better |

| GGUF | i1-Q3_K_L | 0.9 | IQ3_M probably better |

| GGUF | i1-IQ4_XS | 1.0 | |

| GGUF | i1-IQ4_NL | 1.0 | prefer IQ4_XS |

| GGUF | i1-Q4_0 | 1.0 | fast, low quality |

| GGUF | i1-Q4_K_S | 1.0 | optimal size/speed/quality |

| GGUF | i1-Q4_K_M | 1.1 | fast, recommended |

| GGUF | i1-Q4_1 | 1.1 | |

| GGUF | i1-Q5_K_S | 1.2 | |

| GGUF | i1-Q5_K_M | 1.2 | |

| GGUF | i1-Q6_K | 1.3 | 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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