datasets:
- ewof/koishi-instruct-metharme
GPTQ
4096 sequence length
VMware/open-instruct dataset
Training
axolotl was used for training on a 6x nvidia a40 gpu cluster.
the a40 GPU cluster has been graciously provided by Arc Compute.
trained on koishi commit 6e675d1 for one epoch
Base Model
rank 16 lora tune of mistralai/Mistral-7B-v0.1 (all modules, merged)
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.