Top Picks for NSFW LLMs: Community-Recommended Solutions

NSFW LLMs

The development of NSFW (Not Safe for Work) Large Language Models (LLMs) is shaping new possibilities in adult content creation and engagement. Recognizing adult content as a legitimate and natural aspect of human expression, the AI industry is moving towards creating tools that can cater to the wide spectrum of adult interests. 

AI professionals are interested in NSFW LLMs because people genuinely enjoy adult content, which has always been a significant part of the culture. These models are important for discussing sexuality, consent, and fantasy in new and responsible ways. NSFW LLMs help people better understand and accept adult content by offering safe and creative ways to explore complex desires.

For NSFW content creation using Large Language Models, there are several recommended models based on community feedback:

Blue-Orchid-2x7b by nakodanei: A role-playing focused Mixture of Experts (MoE) Mistral model renowned for its excellent writing. It merges expertise from role-playing and story-writing models, based on the Kunoichi-DPO-v2-7B model. Expert 1 combines LimaRP, Limamono, Noromaid 0.4 DPO, and good-robot for robust role-playing capabilities. Expert 2 brings together Erebus, Holodeck, Dans-AdventurousWinds-Mk2, Opus, Ashhwriter, and good-robot for advanced story-writing abilities. It supports LimaRP and Alpaca prompt templates for flexible user interaction.

Unholy-v2-13B by Undi95, quantized by TheBloke: An unrestricted, uncensored model merging Undi95/Unholy-v1-12L-13B with Undi95/toxicqa-Llama2-13B-lora, designed to bypass common language model censorships. It leverages the Alpaca prompt template for user inputs, available in fp16 files.

DaringMaid-20B-V1.1-GGUF by Kooten: An enhancement of DaringMaid-20B, primarily updating Noromaid to version 0.3 for improved performance. It combines DynamicFactor, Utopia, Thorns, and a version resembling MythoMax to enhance knowledge and instruction-following abilities. The model also offers new quantization options for broader hardware compatibility.

Kuro-Lotus-10.7B-GGUF by saishf: A model blending SnowLotus-v2-10.7B by BlueNipples and KuroMitsu-11B by Himitsui, using the SLERP merging method. It optimizes self-attention and MLP components, available in bfloat16 data type with various quantizations for efficient computing.

EstopianMaid-GGUF by TheBigBlender: Combines various pre-trained language models using the task arithmetic merge method. Based on TheBloke/Llama-2-13B-fp16, it includes models like Noromaid-13B-0.4-DPO and Thespis-13b-DPO-v0.7. Each model contributes layers, enhancing its ability to create engaging, contextually aware responses in NSFW settings.

NeuralBeagle14-7B: Noted for its quick response times and suitability for shorter prompts, it is regarded as possibly the best 7B model available, thanks to a DPO fine-tune with the argilla/distilabel-intel-orca-dpo-pairs dataset. It is compatible with ChatML and Llama's chat template.

Fimbulvetr-11B-v2-GPTQ by LoneStriker: Esteemed for its role-playing and erotic role-play (ERP) capabilities, outperforming other models in its range while maintaining speed. Its updated version, Fimbulvetr-v2, continues to excel in quality and efficiency.

Nous-Capybara-34B V1.9: Leverages Amplify-instruct for fine-tuning on a Yi-34B base with a 200K context length, making it unique in the Nous series for model size and context length. Despite a relatively small training dataset, it shows significant scaling potential.

FlatDolphinMaid-8x7B by Undi95: An experimental model that merges the capabilities of Noromaid 8x7b (Instruct) with Dolphin 8x7b to balance intellectual capacity with original roleplay and ERP focuses. It offers a nuanced option for those seeking a blend of IQ enhancement and ERP capabilities.

Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss model by NeverSleep is a specialized tool designed for role-playing (RP) and erotic role-playing (ERP), offering notable enhancements over earlier versions. Adapting the Chatml prompt format, it uniquely omits a specific token to ensure a more balanced interaction, thanks to a careful merging process. 

We invite you to share your experiences with Large Language Models, exploring how they've enhanced your NSFW projects.
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024042801