datasets:
- PygmalionAI/PIPPA
- lemonilia/LimaRP
Training
axolotl was used for training on a 4x nvidia a100 gpu cluster.
the a100 GPU cluster has been graciously provided by lloorree.
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.