Create README.md

README.md

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+### Chatty-2x8B
+
+[picture here]
+
+## Description
+After some testing, finetuning and multiple merges of Llama-3 LLM models, here is something a little different.
+
+This model is a MoE of 2x Llama-3 model trained on different RP format.
+
+This repo contains GGUF files of Chatty-2x8B.
+
+## The idea
+
+I started with two separate Llama-3-Instruct-8B models, each fine-tuned for specific RP formats.
+
+Here is two simple exemple of how it was trained.
+
+
+   - **Expert 1**: This model is trained to handle RP that requires actions and descriptions between asterisks. For example:
+     ```
+     *nods* Yes, I understand.
+     ```
+   - **Expert 2**: This model is fine-tuned for plain text RP where characters’ dialogues and actions are described straightforwardly. For example:
+     ```
+     Nods. "Yes, I understand."
+     ```
+
+My initial idea was to make a 11B or bigger Llama-3 model, or just make a 2x8B from existing model, but I got some issues, they were not stable enough, even after DPO and FFT on top my frankenmerge/moe of Llama-3, it was not working well enough to release them.
+
+So I just tried the idea of having 2 different RP format trained on 2 separated Llama-3-Instruct-8B, and it worked pretty well!
+
+## The dataset
+
+Based on Lumimaid 8B OAS success I still used the same "balance" between RP and non RP in the dataset, the maximum was 50% non RP data on each side.
+
+RP data was different with some exception, the non RP data was exactly the same, despite that, I can't produce repetition so the double usage of non RP datasets didn't hurt the model in the end.
+
+## Prompt template: Llama3
+
+```
+<|begin_of_text|><|start_header_id|>system<|end_header_id|>
+
+{system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>
+
+{input}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
+
+{output}<|eot_id|>
+```
+
+## Others
+
+Undi: If you want to support us, you can [here](https://ko-fi.com/undiai).
+
+IkariDev: Visit my [retro/neocities style website](https://ikaridevgit.github.io/) please kek