README.md

---
license: artistic-2.0
---
### Checkpoint : Personality Distilled from 22B -> 3.14B
- Further Checkpoints will be for Task oriented BlackSheep's.
No longer do we need a ChatGPT, its time to add personality and Task Oriented Models rather than big bloated money burners.
Join Me in creating LLMs with personality.
This type of model can be given Only the knowledge you need, rather than the entire internet trivia chatbots we have today that beat benchmarks.

This model is developed by TroyDoesAI (Troy Andrew Schultz). 
The architecture is based on my personal research-driven decisions, including a higher attention head-to-layer ratio, fewer layers than the number of key-value pairs, and other structural optimizations.

The focus of this model is task-oriented performance. It is designed to handle specific tasks efficiently rather than being trained on a broad dataset such as the entire internet. Initially scrambled and incoherent, the model has been fine-tuned using a curated 66K entry dataset, distilling 22 billion parameters into its current state. The model operates under the personality known as BlackSheep.

---
modelFile included for ease of use for Ollama People

# Instructions For Ollama People 
```
ollama create BlackSheep-Pi
```

You will fucking see something like this

```
transferring model data 100%
using existing layer sha256:dc272d6f68e47bfda2babcae3e26e7f1d821d13b5a55a2ae50a11e2a016b49dc
creating new layer sha256:26a275c25f864ae816ca3733ea7da04703d916c1528447e2130bf244fd9d0370
creating new layer sha256:c69d48de48dc2a45afb309594615213b37b918f9f9ccf4b69d76b7c4014ee8b9
creating new layer sha256:a2b99648f21d2974dcc96acd928740486d67dbd53b850aadd797dbfbfbd883d1
writing manifest
success
```

If it looks like that above, then run that shit!
```
ollama run BlackSheep-Pi
```
---

I will release the Base Model Soon Once I add a final Alignment Layer, currently adding some python skills to the model