Now that the cute anime girl has your attention.

About G2-MS-Nyxora-27b:

Model Name Legend =
"G2 = Gemma 2"
"MS = Model_stock"

This model represents an experimental foray into 27b models. Feedback is welcome for further improvements.

G2-MS-Nyxora-27b combines multiple models' strengths to provide a versatile assistant for various tasks, including general use, storytelling, and roleplay. model seems to be a little on the prudish side from google's training but is fixed with a good system prompt. (Provided in files)

The Model_stock merge method ensures the model remains focused, tailored, and high-quality.

Quants:

Will add as found or im notified of their creation (If you know of one create a discussion!)

SteelQuants, Personal Quants

- G2-MS-Nyxora-27b-Q4_K_M-GGUF

- G2-MS-Nyxora-27b-Q6_K-GGUF

Config:

MODEL_NAME = "G2-MS-Nyxora-27b"
yaml_config = """
base_model: google/gemma-2-27b-it
merge_method: model_stock
dtype: bfloat16
models:
  - model: TheDrummer/Big-Tiger-Gemma-27B-v1
  - model: migtissera/Tess-v2.5-Gemma-2-27B-alpha
"""

Template:

<start_of_turn>user
{{ if .System }}{{ .System }} {{ end }}{{ .Prompt }}<end_of_turn>
<start_of_turn>model
{{ .Response }}<end_of_turn>

Source Model Details:

TheDrummer/Big-Tiger-Gemma-27B-v1:
A decensored version of the Gemma 27B model.

migtissera/Tess-v2.5-Gemma-2-27B-alpha:
The latest state-of-the-art model in the Tess series, Tess-v2.5.2, offers significant improvements in reasoning, coding, and mathematics. It ranks #1 on the MMLU benchmark among open weight models and outperforms several frontier closed models.

Gemma-2-27b-it:
A lightweight, state-of-the-art model from Google, well-suited for various text generation tasks. Its small size allows deployment in resource-limited environments, fostering AI innovation for all.

Merge Method Details:

Model_stock Uses some neat geometric properties of fine tuned models to compute good weights for linear interpolation.