This quant was made using exllamav2-0.1.8 with default dataset. I used a slightly modified quantization script to force use of highest bpw methods for all layers in the model (which is usually "1:8b_128g s4") to ensure max quality.
I also added a small fix in config file to set max default context at 128k as original Mistral-Nemo should have.
I tested this quant shortly in some random RPs (including ones over 8k context) and it seems to work fine.
Prompt Templates
Uses Mistral format.
Original readme below
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The best one so far out of all the Nemomixes. Use this one.
Information
Description
My main goal is to merge the smartness of the base Instruct Nemo with the better prose from the different roleplaying fine-tunes. This one seems to be the best out of all, so far. All credits and thanks go to Intervitens, Mistralai, Invisietch, and NeverSleep for providing amazing models used in the merge.
Lower Temperature of 0.35 recommended, although I had luck with Temperatures above one (1.0-1.2) if you crank up the Min P (0.01-0.1). Run with base DRY of 0.8/1.75/2/0 and you're good to go.
Presets
You can use my custom context/instruct/parameters presets for the model from here.
