README.md

---
library_name: transformers
tags:
- llama-factory
- mindbot
- ai-safety
- sentient-ai
- futuristic
---

# Model Card for M1NDB0T-0M3G4


![image/png](https://cdn-uploads.huggingface.co/production/uploads/630a750165a977feb99ea931/iFqRTNWv7AmOUzSvh738m.png)

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

```python
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 🧠⚡