---
license: mit
datasets:
- Open-Orca/OpenOrca
- ise-uiuc/Magicoder-Evol-Instruct-110K
- tatsu-lab/alpaca
- garage-bAInd/Open-Platypus
---

This is Mistral-v0.1 and a combination of the AIRIC dataset sprinkled into the other datasets listed. Trained for 3 epochs at rank 128 until loss hit about 1.37. I noticed some "it's important to remembers" in there that I may try to scrub out but otherwise the model wasn't intentionally censored.

The intent was to create a robot that I could converse with as well as use as an assistant. If you ask it what it's up to, it'll make something up as if it actually had a life with the right parameters. Before releasing it, I mixed in a lot of OpenOrca data vs what I put out as a chatbot originally to make it more genuinely useful. Set the top_p to .98 to get the most social results. 

This was the original post: https://www.reddit.com/r/LocalLLaMA/comments/154to1w/i_trained_the_65b_model_on_my_texts_so_i_can_talk/

This is how I did the data extraction: https://www.linkedin.com/pulse/how-i-trained-ai-my-text-messages-make-robot-talks-like-eric-polewski-9nu1c/

This is an instruct model trained in the Alpaca format.

5-bit exl2 available at https://huggingface.co/ericpolewski/AIRIC-The-Mistral-5.0bpw-exl2

8-bit exl2 available at https://huggingface.co/ericpolewski/AIRIC-The-Mistral-8.0bpw-exl2