---
datasets:
  - ewof/koishi-instruct-metharme
  - PygmalionAI/PIPPA
  - ludis/geepeetee4
---

just testing for now, qlora merge, several things different between this and the 7b

## training

NousResearch/Llama-2-13b-hf tuned on koishi data (without code subsets) for 1 epoch

then tuned on pippa for 1 epoch

then tuned on gpt4 rp data from whocars proxy for 1 epoch

then tuned on limarp (without ponyville, lolicit, all the fallen, and eka's portal subsets) for 2 epochs

all metharme format

## prompting

https://rentry.org/tsukasa13b - reccomended prompts and gen settings

The current model version has been trained on prompts using three different roles, which are denoted by the following tokens: `<|system|>`, `<|user|>` and `<|model|>`.

The `<|system|>` prompt can be used to inject out-of-channel information behind the scenes, while the `<|user|>` prompt should be used to indicate user input. The `<|model|>` token should then be used to indicate that the model should generate a response. These tokens can happen multiple times and be chained up to form a conversation history.