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---
datasets:
- PygmalionAI/PIPPA
- lemonilia/LimaRP
---
## Training
[axolotl](https://github.com/OpenAccess-AI-Collective/axolotl) was used for training
on a 8x nvidia a40 gpu cluster.
the a40 GPU cluster has been graciously provided by [Arc Compute](https://www.arccompute.io/).
rank 16 qlora (all modules) tune
base model alpindale/goliath-120b tuned on koishi commit 6e675d1 for one epoch
then tuned on pippa 6412b0c for one epoch (metharme completion)
then tuned on limarp Version 2023-10-19 for 2 epochs in metharme completion format
## Prompting
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. |