mergekit-community/Deepseek-R1-Distill-NSFW-RPv1

Hugging Face
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:32kPublished:Jan 25, 2025Architecture:Transformer0.0K Warm

Deepseek-R1-Distill-NSFW-RPv1 is a merged language model created by mergekit-community using the Model Stock method. It combines multiple LoRA adapters with a DeepSeek-R1-Distill-Llama-8B-Abliterated base, integrating diverse capabilities including long context handling, descriptive writing, biomedical knowledge, and roleplay. This model is designed for applications requiring nuanced understanding across various specialized domains and extended narrative generation.

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Overview

This model, Deepseek-R1-Distill-NSFW-RPv1, is a merged language model developed by mergekit-community. It was constructed using the Model Stock merge method, combining several specialized LoRA adapters with a base model of stepenZEN/DeepSeek-R1-Distill-Llama-8B-Abliterated and kik41/lora-length-long-llama-3-8b-v2.

Key Capabilities

The merge integrates a wide array of functionalities, drawing from its constituent models:

  • Extended Context Handling: Incorporates lora-length-long-llama-3-8b-v2 for improved long-context understanding and generation.
  • Specialized Domain Knowledge: Includes adapters for sociology, biomedical multimodal understanding, professional psychology, anatomy, human sexuality, formal logic, and health.
  • Creative and Descriptive Writing: Benefits from lora_llama3_chunked_novel_bs128 and lora-type-descriptive-llama-3-8b-v2 for enhanced narrative and descriptive text generation.
  • Roleplay Optimization: Integrates Llama3_RP_ORPO_LoRA and ANJIR-ADAPTER-128 for improved role-playing capabilities.
  • Instruction Following: Leverages Llama3_instruct_on_wikibio for better instruction adherence.

Good For

This model is particularly well-suited for applications requiring:

  • Generating detailed and contextually rich narratives, especially those with extended length.
  • Role-playing scenarios that demand nuanced character interactions and descriptive environments.
  • Content generation or analysis within specialized fields such as sociology, biomedical science, psychology, and human health.
  • Tasks benefiting from a blend of factual knowledge and creative expression.

Popular Sampler Settings

Top 3 parameter combinations used by Featherless users for this model. Click a tab to see each config.

temperature
top_p
top_k
frequency_penalty
presence_penalty
repetition_penalty
min_p