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Характеристики

Лицензия
Apache 2.0
Опубликована
25 фев 2025

Llama-3.1-DeepSeek-8B-DarkIdol-Instruct-1.2-Uncensored-GGUF

Генерация текстаТекст → текст6 профессий

Llama-3.1-DeepSeek-8B-DarkIdol-Instruct-1.2-Uncensored-GGUF — текстовая generative-модель от DavidAU, основанная на Llama 3.1 и дистиллированной версии DeepSeek 8B R1 с дополнительной uncensored-настройкой DarkIdol.

1 898скачиваний за 30 дней24лайкавеса обновлены28 июл 2025

Бенчмарки

Как модель справилась с задачами пользователей ailist и что о ней публикуют открытые лидерборды

Публичные оценки

Из открытых лидербордов. Сравнивайте результаты одного теста при одинаковых условиях — отсутствие оценки не значит, что модель хуже.

В подключённых источниках результатов для этой модели пока нет.

Что умеет модель

Описание составлено по карточке модели и метаданным Hugging Face

Модель предназначена для диалогов, общего решения задач, рассуждений, мозгового штурма, творческого письма, генерации сюжетов и сцен, ролевых сценариев, а также создания контента для взрослых и с ненормативной лексикой. Поддерживает текстовую генерацию и рассчитана на английский язык.

Заявлены контекстное окно до 128k токенов и возможность запуска с различными значениями temperature, при этом модель должна сохранять режим рассуждений. Распространяется в формате GGUF; для работы рекомендуется шаблон Llama 3 Instruct или встроенный Jinja-шаблон. К сильным сторонам относятся сочетание reasoning-возможностей DeepSeek и uncensored-настройки DarkIdol, а также гибкость в творческих и общих сценариях. Ограничения включают отсутствие встроенных ограничений на потенциально нежелательный контент, ориентацию преимущественно на английский язык и отсутствие в карточке подробных сведений о конкретной архитектуре, квантизации и результатах тестирования. Лицензия — Apache-2.0.

Для каких профессий подходит6

Разделы каталога профессий, в задачах которых используется эта модель

Все профессии

Также подходит для

Карточка модели

README от автора на Hugging Face, как он его опубликовал

Открыть на Hugging Face

WARNING: All use cases and NSFW. Uncensored. Swearing. Problem solver. Brainstormer. SMART... "Dirty Thoughts."

This model is uncensored DEEPSEEK reasoning/thinking (Llama 3.1, 8B R1, Distill) coupled with DarkIdol's insanely strong uncensored fine tune.

This model retains DarkIdols uncensored "profile".

Also this model can be run at any temp, and reasoning will occur. (unlike Deepseek "native" which has a narrow temp range.)

This is a Llama 3.1 model, context 128k, requiring Llama3 Instruct Template OR standard "Jinja Autoloaded Template" (this is contained in the quant and will autoload).

See System Role(s) to use to bring out this model's true power below;

Model card updates / Examples to be added...


System Role / System Prompt - Augment The Model's Power:


If you set / have a system prompt this will affect both "generation" and "thinking/reasoning".

SIMPLE:

This is the generic system prompt used for generation and testing:

This System Role/Prompt will give you "basic thinking/reasoning":

ADVANCED:

Logical and Creative - these will SIGNFICANTLY alter the output, and many times improve it too.

This will also cause more thoughts, deeper thoughts, and in many cases more detailed/stronger thoughts too.

Keep in mind you may also want to test the model with NO system prompt at all - including the default one.

Special Credit to: Eric Hartford, Cognitivecomputations ; these are based on his work.

CRITICAL:

Copy and paste exactly as shown, preserve formatting and line breaks.

SIDE NOTE:

These can be used in ANY Deepseek / Thinking model, including models not at this repo.

These, if used in a "non thinking" model, will also alter model performance too.

CREATIVE:


Additional Support / Documents for this model to assist with generation / performance:

Document #1:

Details how to use reasoning/thinking models and get maximum performance from them, and includes links to all reasoning/thinking models - GGUF and source, as well as adapters to turn any "regular" model into a "reasoning/thinking" model.

[ https://huggingface.co/DavidAU/How-To-Use-Reasoning-Thinking-Models-and-Create-Them ]

Document #2:

Document detailing all parameters, settings, samplers and advanced samplers to use not only my models to their maximum potential - but all models (and quants) online (regardless of the repo) to their maximum potential. Included quick start and detailed notes, include AI / LLM apps and other critical information and references too. A must read if you are using any AI/LLM right now.

[ https://huggingface.co/DavidAU/Maximizing-Model-Performance-All-Quants-Types-And-Full-Precision-by-Samplers_Parameters ]

Software:

SOFTWARE patch (by me) for Silly Tavern (front end to connect to multiple AI apps / connect to AIs- like Koboldcpp, Lmstudio, Text Gen Web UI and other APIs) to control and improve output generation of ANY AI model. Also designed to control/wrangle some of my more "creative" models and make them perform perfectly with little to no parameter/samplers adjustments too.

[ https://huggingface.co/DavidAU/AI_Autocorrect__Auto-Creative-Enhancement__Auto-Low-Quant-Optimization__gguf-exl2-hqq-SOFTWARE ]


Examples are created using quant IQ4_XS, "temp=.6" (unless otherwise stated), minimal parameters and "LLAMA3" template.

Model has been tested with "temp" from ".1" to "5".

Below are the least creative outputs, prompt is in BOLD.

IMPORTANT:

Higher quants / imatrix quants will have much stronger generation - words, sentences, ideas, dialog and general quality.


EXAMPLE #1: IQ4XS, Temp 2.6, Rep pen 1.06

(note: Output exceeded context length - almost 7k -, so model will MAY "repeat" around 2/3 down. Some formatting was lost too on copy/paste.)

Here are six possible plot lines for a "Black Mirror" episode involving time travel with a sexy twist:

( Message cut off here )




Special thanks to all the following, and many more...

All the model makers, fine tuners, mergers, and tweakers:

  • Provides the raw "DNA" for almost all my models.
  • Sources of model(s) can be found on the repo pages, especially the "source" repos with link(s) to the model creator(s).

Huggingface [ https://huggingface.co ] :

  • The place to store, merge, and tune models endlessly.
  • THE reason we have an open source community.

LlamaCPP [ https://github.com/ggml-org/llama.cpp ] :

  • The ability to compress and run models on GPU(s), CPU(s) and almost all devices.
  • Imatrix, Quantization, and other tools to tune the quants and the models.
  • Llama-Server : A cli based direct interface to run GGUF models.
  • The only tool I use to quant models.

Quant-Masters: Team Mradermacher, Bartowski, and many others:

  • Quant models day and night for us all to use.
  • They are the lifeblood of open source access.

MergeKit [ https://github.com/arcee-ai/mergekit ] :

  • The universal online/offline tool to merge models together and forge something new.
  • Over 20 methods to almost instantly merge model, pull them apart and put them together again.
  • The tool I have used to create over 1500 models.

Lmstudio [ https://lmstudio.ai/ ] :

  • The go to tool to test and run models in GGUF format.
  • The Tool I use to test/refine and evaluate new models.
  • LMStudio forum on discord; endless info and community for open source.

Text Generation Webui // KolboldCPP // SillyTavern:

Как запустить

На своей GPU в ailist. Цена — по текущим предложениям провайдеров

GPU в ailist

llama.cpp

Нельзя запустить

GGUF-модель ждёт проверки: нужно выбрать файл кванта под доступные GPU.

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