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💎 GEMBRAIN-31B 🧠

Name: Gemma-4-Gembrain-31B
Availability: InStock

INSANE IN THE GEMBRAIN

ADHERENCEIMPROVED

SWIPE VARIETYINCREASED

CREATIVE PROSEPRESERVED

🧠 About The Model

Gembrain-31B is a synthesis of several models, including Gemsicle-31B as important ingredient. The goal of this release was to stabilize and improve the initial Gemsicle-31B, but also to enhance its logical and lateral thinking, both with and without reasoning.

It's build to create the most unhinged narratives and construct image prompts about anything accordingly to a given structure with high precision.

Expect creative swipe variance, unique and non-robotic prose, and sharper instruction adherence.

🎚️ Samplers

Temperature	1.0
Top-K	0
Top-P	0.95
Min-P	0.03
DRY Multiplier	0.8
DRY Base	1.75
DRY Allowed Length	10
Optional: Adaptive-P Target	0.6
Optional: Adaptive-P Decay	0.5

🫟 GGUF Quants

Quant	Size	Download Link
Q4_K_S	`17.8 GB`	Click
Q4_K_M	`18.7 GB`	Click
Q5_K_S	`21.3 GB`	Click
Q5_K_M	`21.8 GB`	Click
Q6_K	`25.2 GB`	Click
Q8_0	`32.6 GB`	Click

🔮 Prompt Format

Please refer to the original google/gemma-4-31b-it for the correct chat template.

Let your frontend handle the chat template if possible (e.g., Chat Completion in SillyTavern).

For Reasoning: Add <|think|> at the very beginning of the system prompt. Thinking happens between <|channel>thought\n and <channel|> tags.

text

<|turn>system
<|think|>
You are a helpful assistant<turn|>
<|turn>user
Hello<turn|>
<|turn>model
Hi there<turn|>
<|turn>user
How are you?<turn|>
<|turn>model

🧪 Merge Details

This model was systematically created through a five-stage process of priming models for their given purpose and merging the results:

Phase 01: breadcrumbs_ties

Gemopus X MeroMero

models:
  - model: ./G4-MeroMero-31B
  - model: ./G4-Gemopus-4-31B-it
merge_method: breadcrumbs_ties
base_model: ./G4-31B-it
parameters:
  density: 0.85
  weight: 0.5
  int8_mask: true
dtype: bfloat16

Phase 02: slerp

GarnetV2 X Musica-v1

models:
  - model: ./G4-Gemma4-GarnetV2-31B
  - model: ./G4-31B-Musica-v1
merge_method: slerp
base_model: ./G4-Gemma4-GarnetV2-31B
parameters:
  t:
    - value: 0.6
dtype: bfloat16

Phase 03: della_linear

Gemsicle X Gemma-4-31B-it-heretic-ara

models:
  - model: ./Gemsicle-31B
    parameters:
    weight: 1.0
  - model: ./G4-gemma-4-31b-it-heretic-ara
    parameters:
      weight: 0.75
      density: 0.65
merge_method: della_linear
base_model: ./G4-31B-it
parameters:
  weight: 1.0
  normalize: false
  epsilon: 0.05
  lambda: 1.0
dtype: bfloat16

Phase 04: model_stock

Phase 01 X Phase 02 X Phase 03

models:
  - model: ./phase01_breadcrumbs_ties
  - model: ./phase02_slerp
merge_method: model_stock
base_model: ./phase03_della_linear
dtype: bfloat16
tokenizer_source: "base"

Phase 05: arcee_fusion

Gemsicle X Phase 04

models:
  - model: ./Gemsicle-31B
  - model: ./phase04_model_stock
merge_method: arcee_fusion
base_model: ./Gemsicle-31B
dtype: bfloat16
tokenizer_source: "base"

🏆 Credits & Honors

The Open-Source Community: For providing the brilliant base models and fine-tunes that made this synthesis possible.

The BeaverAI Community: The people on the BeaverAI Discord - Without your help I wouldn't do all that.

Mergekit: Once again thank you Arcee AI for the great and easy to use mergekit! And thanks to zerofota and their fork for Gemma 4 support.

Ateron: Big kudos for providing me with the first steps for merging models and your relentless testing and support.

Google Gemini: For once again helping me to craft this specific model card.

Nimbz/Gemma-4-Gembrain-31B