TheMindExpansionNetwork
/

Pixel-Rave_babe-1111-mistral-23b

@@ -2,199 +2,137 @@
 library_name: transformers
 tags:
 - llama-factory
 ---
-# Model Card for Model ID
-<!-- Provide a quick summary of what the model is/does. -->
 ## Model Details
 ### Model Description
-<!-- Provide a longer summary of what this model is. -->
-This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
-- **Developed by:** [More Information Needed]
-- **Funded by [optional]:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
-- **Model type:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
-- **Finetuned from model [optional]:** [More Information Needed]
-### Model Sources [optional]
-<!-- Provide the basic links for the model. -->
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
 ## Uses
-<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
 ### Direct Use
-<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
-[More Information Needed]
-### Downstream Use [optional]
-<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
-[More Information Needed]
 ### Out-of-Scope Use
-<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
-[More Information Needed]
 ## Bias, Risks, and Limitations
-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
-[More Information Needed]
-### Recommendations
-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
-Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
-## How to Get Started with the Model
-Use the code below to get started with the model.
-[More Information Needed]
 ## Training Details
 ### Training Data
-<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
-[More Information Needed]
 ### Training Procedure
-<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
-#### Preprocessing [optional]
-[More Information Needed]
-#### Training Hyperparameters
-- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
-#### Speeds, Sizes, Times [optional]
-<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
-[More Information Needed]
 ## Evaluation
-<!-- This section describes the evaluation protocols and provides the results. -->
-### Testing Data, Factors & Metrics
-#### Testing Data
-<!-- This should link to a Dataset Card if possible. -->
-[More Information Needed]
-#### Factors
-<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
-[More Information Needed]
-#### Metrics
-<!-- These are the evaluation metrics being used, ideally with a description of why. -->
-[More Information Needed]
-### Results
-[More Information Needed]
-#### Summary
-## Model Examination [optional]
-<!-- Relevant interpretability work for the model goes here -->
-[More Information Needed]
 ## Environmental Impact
-<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
-Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
-- **Hardware Type:** [More Information Needed]
-- **Hours used:** [More Information Needed]
-- **Cloud Provider:** [More Information Needed]
-- **Compute Region:** [More Information Needed]
-- **Carbon Emitted:** [More Information Needed]
-## Technical Specifications [optional]
-### Model Architecture and Objective
-[More Information Needed]
-### Compute Infrastructure
-[More Information Needed]
-#### Hardware
-[More Information Needed]
-#### Software
-[More Information Needed]
-## Citation [optional]
-<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
-**BibTeX:**
-[More Information Needed]
-**APA:**
-[More Information Needed]
-## Glossary [optional]
-<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
-[More Information Needed]
-## More Information [optional]
-[More Information Needed]
-## Model Card Authors [optional]
-[More Information Needed]
-## Model Card Contact
-[More Information Needed]

 library_name: transformers
 tags:
 - llama-factory
+- pixel
+- rave-babe
+- harm-reduction
+- character-LLM
+- uncensored-ai
 ---
+# 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.
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/630a750165a977feb99ea931/AxJJBlD1a5Udk_YR_4MCn.png)
+---
 ## 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
+```python
+from datasets import load_dataset
+ds = load_dataset("TheMindExpansionNetwork/Pixel-Rave_babe-1111-mistral-23b")
+print(ds["train"][0])
+```
+System prompt to start with:
+```text
+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: support@themindexpansion.net