This is a 8bpw EXL2 quant of crestf411/daybreak-kunoichi-2dpo-7b

This quant was made using exllamav2-0.0.21 with default dataset.

Context limit seems to be 8k (in webui it shows 16k by default but it gets incoherent past 8k, use alpha_value in webui to scale to 16k).

I tested this quant shortly in some random RPs (including one over 8k with alpha_value in webui) and it seems to work fine.

This model seems to use Alpaca format.

Experimental model doing a DPO training on top of Kunoichi-DPO-v2-7b, i.e. double-DPO.

Not suitable for any audience.