🇪🇸 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.
merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
This model card provides information for the BRUTAL_HAL3.2-1B model, a conversational AI model available on Ollama, fine-tuned on dialogue from the film 2001: A Space Odyssey to emulate the HAL 9000 but with a brutal personality. It is based on the Meta Llama 3.2 1B architecture.
Merge Method
This model was merged using the Arcee Fusion merge method using Novaciano/LUCIFER-3.2-1B as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
dtype: float32
out_dtype: bfloat16
merge_method: arcee_fusion
base_model: Novaciano/LUCIFER-3.2-1B
models:
- model: Novaciano/LUCIFER-3.2-1B
parameters:
weight:
- filter: mlp
value: [1, 2]
- value: 1
- model: FalseNoetics/HAL3.2-1B_Combined
parameters:
weight:
- filter: lm_head
value: 1
- value: [1, 0.5]
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