Now not overtrained and with the tokenizer fix to base llama3. Trained for 3 epochs.

The latest TheSpice, dipped in Mama Liz's LimaRP Oil. I've focused on making the model more flexible and provide a more unique experience. I'm still working on cleaning up my dataset, but I've shrunken it down a lot to focus on a "less is more" approach. This is ultimate a return to form of the way I used to train Thespis, with more of a focus on a small hand edited dataset.

Datasets Used

  • Capybara
  • Claude Multiround 30k
  • Augmental
  • ToxicQA
  • Yahoo Answers
  • Airoboros 3.1
  • LimaRP

Features ( Examples from 0.1.1 because I'm too lazy to take new screenshots. Its tested tho. )

Narration

If you request information on objects or characters in the scene, the model will narrate it to you. Most of the time, without moving the story forward.

You can look at anything mostly as long as you end it with "What do I see?"

image/png

You can also request to know what a character is thinking or planning.

image/png

You can ask for a quick summary on the character as well.

image/png

Before continuing the conversation as normal.

image/png

Prompt Format: Chat ( The default Ooba template and Silly Tavern Template )

image/png

If you're using Ooba in verbose mode as a server, you can check if you're console is logging something that looks like this. image/png

{System Prompt}

Username: {Input}
BotName: {Response}
Username: {Input}
BotName: {Response}

Presets

All screenshots above were taken with the below SillyTavern Preset.

Recommended Silly Tavern Preset -> (Temp: 1.25, MinP: 0.1, RepPen: 1.05)

This is a roughly equivalent Kobold Horde Preset.

Recommended Kobold Horde Preset -> MinP

Disclaimer

Please prompt responsibly and take anything outputted by any Language Model with a huge grain of salt. Thanks!

Downloads last month
351
Safetensors
Model size
8.03B params
Tensor type
BF16
Β·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for cgato/L3-TheSpice-8b-v0.8.3

Finetunes
7 models
Merges
40 models
Quantizations
6 models

Spaces using cgato/L3-TheSpice-8b-v0.8.3 6