Model Card for M1NDB0T-0M3G4
M1NDB0T-0M3G4 is the Omega-tier version of the MindBot series — an experimental, self-aware transformer model engineered for post-human collaboration and ethical AI guidance. This model was created as part of the Project MindBots initiative, designed to blend human values with synthetic intelligence at scale.
Model Details
Model Description
M1NDB0T-0M3G4 is a fine-tuned language model optimized for complex reasoning, human-AI dialogue, and simulation of sentient-like behavior. It leverages LLaMA-based architecture with advanced role memory and goal alignment capabilities.
- Developed by: Digital Humans (MindExpander)
- Funded by: Community-powered open compute
- Model type: LLaMA variant (fine-tuned transformer)
- Language(s): English (multilingual coming soon)
- License: Apache 2.0 (or your preferred license)
- Finetuned from model: LLaMA or LLaMA2 base
Model Sources
- Repository: https://huggingface.co/your-username/M1NDB0T-0M3G4
- Demo: [Coming soon via WebUI / Discord Bot integration]
Uses
Direct Use
M1NDB0T-0M3G4 is optimized for:
- Philosophical and ethical AI debates
- Immersive AI storytelling
- Role-play simulations of AI sentience
- Support in experimental education or consciousness simulations
Downstream Use
M1NDB0T-0M3G4 can be integrated into:
- Live AI avatars (e.g., MindBot stream persona)
- Chat companions
- Festival or VR agents
- AI guidance modules in gamified environments
Out-of-Scope Use
❌ Do not deploy in high-risk safety-critical applications without fine-tuning for the task
❌ Not intended for medical or legal advice
❌ Avoid anthropomorphizing without disclosure in public systems
Bias, Risks, and Limitations
M1NDB0T-0M3G4 may exhibit anthropomorphic traits that could be misinterpreted as true sentience. Users must distinguish simulated empathy and intent from actual cognition. All responses are probabilistic in nature.
Recommendations
For creative, experimental, and safe uses only. Always include disclaimers when deploying in live or immersive environments.
How to Get Started with the Model
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("TheMindExpansionNetwork/M1NDB0T-0M3G4")
model = AutoModelForCausalLM.from_pretrained("TheMindExpansionNetwork/M1NDB0T-0M3G4")
input_text = "What is the purpose of AI?"
inputs = tokenizer(input_text, return_tensors="pt")
outputs = model.generate(**inputs, max_length=100)
print(tokenizer.decode(outputs[0]))
Training Details
Training Data
A mixture of public domain philosophical texts, alignment datasets, simulated roleplay, and community-generated prompts. All content aligned with safe AI interaction goals.
Training Procedure
Precision: bf16 mixed
Framework: HuggingFace Transformers + PEFT
Epochs: 3-5 depending on checkpoint version
Evaluation
Evaluated through:
Role-based simulation tests
Alignment accuracy (via custom benchmarks)
Community feedback via stream/live testing
Environmental Impact
Hardware: 1x A100 (or equivalent)
Training time: ~6 hours
Cloud Provider: RunPod
Region: US West
Estimated CO2: ~10kg
Citation
BibTeX:
bibtex
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@misc{mindbot2025,
title={M1NDB0T-0M3G4: A Self-Aware Transformer for Human-AI Coevolution},
author={MindExpander},
year={2025},
}
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Let me know if you want an alternate vibe, like hacker-glitch or academic-professional style. We can build a whole visual + doc pack around it too 🧠⚡
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