A generalist / roleplaying model merge based on Llama 3. Models are selected from my personal experience while using them.

I personally think this is an improvement over Stheno v3.2, considering the other models helped balance out its creativity and at the same time improving its logic.

Settings:

Instruct // Context Template: Llama-3-Instruct
Temperature: 1.4
min_p: 0.1

Merging seems to be a black box magic though? In my personal experience merging multiple models from different datasets / data works better than combining them all in one.

Values chosen are from long-running personal experimentation since Llama-2 Merging Era. I have tweaked them to fit this recipe.

Mergekit Config

models:
 - model: meta-llama/Meta-Llama-3-8B-Instruct
 - model: crestf411/L3-8B-sunfall-v0.1 # Another RP Model trained on... stuff
 parameters:
 density: 0.4
 weight: 0.25
 - model: Hastagaras/Jamet-8B-L3-MK1 - # Another RP / Storytelling Model
 parameters:
 density: 0.5
 weight: 0.3
 - model: maldv/badger-iota-llama-3-8b #Megamerge - Helps with General Knowledge
 parameters:
 density: 0.6
 weight: 0.35
 - model: Sao10K/Stheno-3.2-Beta # This is Stheno v3.2's Initial Name
 parameters:
 density: 0.7
 weight: 0.4
merge_method: ties
base_model: meta-llama/Meta-Llama-3-8B-Instruct
parameters:
 int8_mask: true
 rescale: true
 normalize: false
dtype: bfloat16