NeuralKunoichi-EroSumika-4x7B-128k

Test merge. Attempt to get good at RP, ERP, general tasks model with 128k context. Every model here has Epiculous/Fett-uccine-Long-Noodle-7B-120k-Context in merge instead of regular MistralYarn 128k. The reason is because i belive Epiculous merged it with Mistral Instruct v0.2 to make first 32k context experience as perfect as possible until we reach YaRN from 32 to 128k, if not - it's sad D:, or, i get something wrong.

Exl2, 4.0 bpw

GGUF

Here is the "family tree" of this model, im not writing full model names cause they long af

NeuralKunoichi-EroSumika 4x7B 128k

* NeuralKunoichi-EroSumika 4x7B
	*(1) Kunocchini-7b-128k
	|
	*(2) Mistral-Instruct-v0.2-128k
		* Mistral-7B-Instruct-v0.2
		|
		* Fett-128k
	|
	*(3) Erosumika-128k
		* Erosumika 7B
		|
		* FFett-128k
	|
	*(4) Mistral-NeuralHuman-128k
		* Fett-128k
		|
		* Mistral-NeuralHuman
			* Mistral_MoreHuman
			|
			* Mistral-Neural-Story

Models used

• localfultonextractor/Erosumika-7B
• mistralai/Mistral-7B-Instruct-v0.2
• Test157t/Kunocchini-7b-128k-test
• NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story
• valine/MoreHuman
• Epiculous/Fett-uccine-Long-Noodle-7B-120k-Context