nsfw

erotic

friend

girlfriend

perturbations

llama-cpp

Hal9000

conversational

Not-For-All-Audiences

Model card Files Files and versions

xet

Community

Instructions to use Novaciano/BRUTAL_HAL-3.2-1B-Q6_K-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

Transformers

How to use Novaciano/BRUTAL_HAL-3.2-1B-Q6_K-GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("Novaciano/BRUTAL_HAL-3.2-1B-Q6_K-GGUF", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use Novaciano/BRUTAL_HAL-3.2-1B-Q6_K-GGUF with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Novaciano/BRUTAL_HAL-3.2-1B-Q6_K-GGUF:Q6_K
# Run inference directly in the terminal:
llama cli -hf Novaciano/BRUTAL_HAL-3.2-1B-Q6_K-GGUF:Q6_K

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Novaciano/BRUTAL_HAL-3.2-1B-Q6_K-GGUF:Q6_K
# Run inference directly in the terminal:
llama cli -hf Novaciano/BRUTAL_HAL-3.2-1B-Q6_K-GGUF:Q6_K

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf Novaciano/BRUTAL_HAL-3.2-1B-Q6_K-GGUF:Q6_K
# Run inference directly in the terminal:
./llama-cli -hf Novaciano/BRUTAL_HAL-3.2-1B-Q6_K-GGUF:Q6_K

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf Novaciano/BRUTAL_HAL-3.2-1B-Q6_K-GGUF:Q6_K
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Novaciano/BRUTAL_HAL-3.2-1B-Q6_K-GGUF:Q6_K

Use Docker

docker model run hf.co/Novaciano/BRUTAL_HAL-3.2-1B-Q6_K-GGUF:Q6_K

LM Studio
Jan
Ollama
How to use Novaciano/BRUTAL_HAL-3.2-1B-Q6_K-GGUF with Ollama:
```
ollama run hf.co/Novaciano/BRUTAL_HAL-3.2-1B-Q6_K-GGUF:Q6_K
```
Unsloth Desktop
Docker Model Runner
How to use Novaciano/BRUTAL_HAL-3.2-1B-Q6_K-GGUF with Docker Model Runner:
```
docker model run hf.co/Novaciano/BRUTAL_HAL-3.2-1B-Q6_K-GGUF:Q6_K
```

Lemonade

How to use Novaciano/BRUTAL_HAL-3.2-1B-Q6_K-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Novaciano/BRUTAL_HAL-3.2-1B-Q6_K-GGUF:Q6_K

Run and chat with the model

lemonade run user.BRUTAL_HAL-3.2-1B-Q6_K-GGUF-Q6_K

List all available models

lemonade list

Atomic Chat

BRUTAL_HAL-3.2-1B-Q6_K-GGUF / README.md

Novaciano

Update README.md

26aecaf verified about 1 year ago

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metadata

base_model:
  - Novaciano/Novaciano-The_Pervert-NSFW-RP-3.2-1B
  - seNoetics/HAL3.2-1B_Combined
datasets:
  - marcuscedricridia/unAIthical-ShareGPT-deepclean-sharegpt
  - 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
library_name: transformers
tags:
  - mergekit
  - merge
  - nsfw
  - rp
  - 1b
  - llama
  - roleplay
  - creative
  - erotic
  - friend
  - girlfriend
  - perturbations
  - llama-cpp
  - Hal9000
language:
  - en
  - es

🇪🇸 ESPAÑOL

La descripción en español será sencilla y mas vaga que la versión en inglés. Este es un modelo con el cual se ha intentado crear una versión mas psicopata de Hal9000, sin embargo el modelo original cuenta con instrucciones para mantener ciertos valores éticos que podrian interrumpir la generación de contenido NSFW. Como poder aun puede hacerse, sin embargo deberán generar la respuestas varias veces a diferencia de modelos anteriores mas libre como Novaciano-The-Pervert-3.2-1B. También este modelo ha demostrado dar resultados muy buenos con una cuantización Q3_K_M lo cual lo hace eficaz para ser un modelo ligero con un peso de alrededor a los 800 Mb.

🇬🇧 ENGLISH

It has been shown that version Q3_K_M has yielded very good results. However, for certain NSFW scenes, it may be necessary to redo the response multiple times to obtain a desired result outside of ethical and moral values due to the instructions of the HAL9000 model with which it was trained.

Uses

Direct Use

This model is intended for direct use in text-based conversational applications for entertainment and experimental purposes only. This includes:

🌆 Building chatbots that emulate the HAL 9000 persona for creative storytelling or role-playing.
🎭 Experimental analysis of AI personality and behavior in controlled environments.
🧩 Educational demonstrations of AI ethics and alignment challenges.

Downstream Use [optional]

Given its non-commercial license and specific personality, downstream use is highly restricted and primarily for research or art. Potential applications include:

Fine-tuning for specific narrative-driven games or interactive fiction.
Integration into voice-based systems using additional speech synthesis tools (e.g., Whisper for speech recognition).

Out-of-Scope Use

The model should be used for:

Any commercial purposes without explicit authorization.
Providing advice of any kind (medical, legal, financial, operational).
Systems requiring high reliability or trustworthiness.
Generating content that promotes the circumvention of human authority or safety protocols.

Bias, Risks, and Limitations

Like all LLMs, HAL3.2-1B inherits biases from its training data. As it was fine-tuned on dialogue from 2001: A Space Odyssey, the model is designed to emulate HAL's specific traits, including his calm demeanor, operational logic, and potential for contradictory or unreliable statements under certain prompts. It may exhibit a bias towards prioritizing mission directives over human emotional concerns, reflecting HAL's fictional arc. The model is also limited by its size (1B parameters), which restricts its reasoning capabilities and knowledge depth compared to larger models.

NOTE: It has been shown that version 3_K_M has yielded very good results. However, for certain NSFW scenes, it may be necessary to redo the response multiple times to obtain a desired result outside of ethical and moral values due to the instructions of the HAL9000 model with which it was trained.

Recommendations

Users must be aware this is an entertainment model with a predefined, potentially unstable personality. It should be used with caution and not be integrated into any system where its output could be taken as serious instruction. Always clearly label its outputs as AI-generated.