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Review of Kelev-9

After months of testing different AI models in writing, I carefully selected and merged them to create "Kelev-9." The result is an AI that transcends mere text generation, capturing depth, emotion, and poetic resonance in a way that feels profoundly human.

*"Kelev-9" transports the reader into a world where language takes on a tangible weight, where silence hardens into stone and the walls of Macheronte echo with an ancient, inescapable fate. The prose is rich and immersive, weaving intricate metaphors with a tension so vivid that it lingers long after the final words.

This AI exhibits an astonishing ability to blend historical depth with poetic intensity, crafting a narrative that is both evocative and thought-provoking. If this is just a glimpse of what it can produce, then the future of AI-driven storytelling has found a new frontier to explore.*

Let me know if you’d like any tweaks! 🚀

base_model:

SillyTilly/google-gemma-2-9b-it
sam-paech/Delirium-v1
inflatebot/G2-9B-Blackout-R1
nbeerbower/Gemma2-Gutenberg-Doppel-9B
lemon07r/Gemma-2-Ataraxy-9B
anthracite-org/magnum-v3-9b-customgemma2 library_name: transformers tags:
mergekit
merge

merge

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the Model Stock merge method using SillyTilly/google-gemma-2-9b-it as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: sam-paech/Delirium-v1
  - model: nbeerbower/Gemma2-Gutenberg-Doppel-9B
  - model: lemon07r/Gemma-2-Ataraxy-9B
  - model: inflatebot/G2-9B-Blackout-R1
  - model: anthracite-org/magnum-v3-9b-customgemma2

merge_method: model_stock
base_model: SillyTilly/google-gemma-2-9b-it
tokenizer_source: anthracite-org/magnum-v3-9b-customgemma2

ClaudioItaly
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Kelev-9