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Gemma-4-31B-Giftige-Blume-v2

RP Chat

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Ratings reflect this model as run on Arli AI.

Gemma-4-31B-Giftige-Blume-v2 is a text generation model available on Arli AI. It offers 31B parameters, 262K token context, reasoning support, vision input. Recommended use: RP Chat. Run it through the OpenAI-compatible chat completions API with unlimited requests and zero-log privacy.

View on Hugging FaceBack to Models

Hourly Usage

No hourly usage data available

Token Usage

Input (24H)

0

Output (24H)

0

Input (7D)

0

Output (7D)

0

Performance Metrics

Typical Total Time

N/A

Typical TTFT

N/A

Typical Input TPS

N/A

Typical Output TPS

N/A

Model Information

Context Size

262144

Quantization

r128 on FP8

Engine

vllm

Creation Method

Merge

Model Class

Gemma-4-31B - LoRA

Chat Template

Gemma4

Reasoning

Yes

Vision

Yes

Parameters

31B

Added At

10/31/2026

Use Gemma-4-31B-Giftige-Blume-v2 with the Arli AI API

Gemma-4-31B-Giftige-Blume-v2 is available through an OpenAI-compatible chat completions endpoint. Point any OpenAI SDK at https://api.arliai.com/v1, pass Gemma-4-31B-Giftige-Blume-v2 as the model, and requests are served without logging.

cURL

curl https://api.arliai.com/v1/chat/completions \
  -H "Authorization: Bearer $ARLIAI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "Gemma-4-31B-Giftige-Blume-v2",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Python

from openai import OpenAI

client = OpenAI(
    base_url="https://api.arliai.com/v1",
    api_key="YOUR_ARLIAI_API_KEY",
)

response = client.chat.completions.create(
    model="Gemma-4-31B-Giftige-Blume-v2",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)

See the text generation docs for every parameter, or read the quick start guide to make your first request.

Similar models

license: apache-2.0 base_model:

  • google/gemma-4-31B-it
  • MRockatansky/Gemma-4-31B-storymaxxed
  • LatitudeGames/Equinox-31B
  • sophosympatheia/Mero-Artemis-31B-v0.3.1
  • AuriAetherwiing/G4-31B-Musica-v1
  • llmfan46/gemma-4-Ortenzya-The-Creative-Wordsmith-31B-it-uncensored-heretic
  • Jackrong/Gemopus-4-31B-it
  • p-e-r-e-g-r-i-n-e/Sprinkle-Gemma-4-31B tags:
  • merge
  • mergekit
  • reasoning
  • non-reasoning
  • creative writing
  • roleplay
  • uncensored
  • nsfw
  • 31B
  • gemma-4

🌺 Giftige-Blume-31B-v2 🧪

Beautiful in Prose • Lethal in Precision
AUTHENTIC
TOXIC
CREATIVE

🌿 About The Model

With the model Giftige-Blume-31B, the idea was to create something that truly catches and portrays a character's persona genuinely. A character should act stubborn if they are stubborn, or refuse situations that the character doesn't seem fit. The Gemma-4-31B-it base and a lot of fine-tunes have a steep user adherence, which is usually great for assistant tasks, but not really fitting for immersive roleplay.

While Giftige-Blume-31B-v1 leans towards a broader spectrum of roleplay story variance and the focus on a more diverse prose and writing style thanks to the used mix of models, Giftige-Blume-31B-v2 goes a slightly different way with the specific goal of stricter prompt adherence (e.g., image prompt generation), achieved through a more streamlined influence of Gemopus-31B and Sprinkle-Gemma-4-31B in the second and third merge phase next to a slightly different model_stock base.
This model is made for a wide range of roleplay scenarios, with the goal to impersonate characters as they are described and not how the user wants them to be mid-chat. Expect uncensored roleplay without the deep-fried agreeability that is often associated with abliteration or similar techniques.

🧪 Samplers

Temperature0.8 - 1.2
Top-K0
Top-P0.95
Min-P0.1 - 0.2
Adaptive-P Target0.6
Adaptive-P Decay0.5

🪻 GGUF Quants

Select your vintage below.
QuantSizeLink
Q4_K_S17.8 GBDownload
Q4_K_M18.7 GBDownload
Q5_K_S21.3 GBDownload
Q5_K_M21.8 GBDownload
Q6_K25.2 GBDownload
Q8_032.6 GBDownload

📜 Prompt Format

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.

🧬 Merge Details

This model was merged in three distinct phases:

🏵️ 1. Phase

Broad RP Scenario: model_stock 
merge_method: model_stock
base_model: ./MRockatansky/Gemma-4-31B-storymaxxed
tokenizer_source: base
dtype: bfloat16
parameters:
normalize: true
models:
- model: ./MRockatansky/Gemma-4-31B-storymaxxed
- model: ./LatitudeGames/Equinox-31B
- model: ./sophosympatheia/Mero-Artemis-31B-v0.3.1
- model: ./AuriAetherwiing/G4-31B-Musica-v1

💐 2. Phase

Heretic RP Engine: breadcrumbs_ties 
merge_method: breadcrumbs_ties
base_model: ./Broad-RP-Scenario-model_stock_phase1
tokenizer_source: base
dtype: bfloat16

modules:
  text_decoder:
    
    slices:
      - sources:
          - model: ./Broad-RP-Scenario-model_stock_phase1
            layer_range: [0, 12]
            parameters:
              weight: 0.65
          - model: ./llmfan46/gemma-4-Ortenzya-The-Creative-Wordsmith-31B-it-uncensored-heretic
            layer_range: [0, 12]
            parameters:
              density: 0.35
              weight: 0.20            
          - model: ./Jackrong/Gemopus-4-31B-it
            layer_range: [0, 12]
            parameters:
              density: 0.45
              weight: 0.30

      - sources:
          - model: ./Broad-RP-Scenario-model_stock_phase1
            layer_range: [12, 24]
            parameters:
              weight: 0.85
          - model: ./llmfan46/gemma-4-Ortenzya-The-Creative-Wordsmith-31B-it-uncensored-heretic
            layer_range: [12, 24]
            parameters:
              density: 0.15
              weight: 0.15
          - model: ./Jackrong/Gemopus-4-31B-it
            layer_range: [12, 24]
            parameters:
              density: 0.50
              weight: 0.60

      - sources:
          - model: ./Broad-RP-Scenario-model_stock_phase1
            layer_range: [24, 42]
            parameters:
              weight: 0.80
          - model: ./llmfan46/gemma-4-Ortenzya-The-Creative-Wordsmith-31B-it-uncensored-heretic
            layer_range: [24, 42]
            parameters:
              density: 0.30
              weight: 0.35
          - model: ./Jackrong/Gemopus-4-31B-it
            layer_range: [24, 42]
            parameters:
              density: 0.70
              weight: 0.80

      - sources:
          - model: ./Broad-RP-Scenario-model_stock_phase1
            layer_range: [42, 54]
            parameters:
              weight: 0.80
          - model: ./llmfan46/gemma-4-Ortenzya-The-Creative-Wordsmith-31B-it-uncensored-heretic
            layer_range: [42, 54]
            parameters:
              density: 0.65
              weight: 0.70
          - model: ./Jackrong/Gemopus-4-31B-it
            layer_range: [42, 54]
            parameters:
              density: 0.40
              weight: 0.45

      - sources:
          - model: ./Broad-RP-Scenario-model_stock_phase1
            layer_range: [54, 60]
            parameters:
              weight: 0.85
          - model: ./llmfan46/gemma-4-Ortenzya-The-Creative-Wordsmith-31B-it-uncensored-heretic
            layer_range: [54, 60]
            parameters:
              density: 0.75
              weight: 0.85     

  vision_tower:
    models:
      - model: ./Broad-RP-Scenario-model_stock_phase1

🌳 3. Phase

Logical RP Melting: della_linear 
merge_method: della_linear
base_model: ./google/gemma-4-31B-it
tokenizer_source: base
dtype: bfloat16
parameters:
  epsilon: 0.05
  lambda: 1.0
  normalize: true
  int8_mask: true

modules:
  text_decoder:
    slices:
      - sources:
          - model: ./google/gemma-4-31B-it
            layer_range: [0, 12]
            parameters:
              weight: 0.75
          - model: ./p-e-r-e-g-r-i-n-e/Sprinkle-Gemma-4-31B
            layer_range: [0, 12]
            parameters:
              density: 0.10
              weight:
                - filter: embed_tokens
                  value: 0.0
                - filter: lm_head
                  value: 0.0
                - value: 0.10
          - model: ./Jackrong/Gemopus-4-31B-it
            layer_range: [0, 12]
            parameters:
              density: 0.25
              weight:
                - filter: embed_tokens
                  value: 0.0
                - filter: lm_head
                  value: 0.0
                - value: 0.25
          - model: ./Heretic-RP-Engine_breadcrumbs_ties
            layer_range: [0, 12]
            parameters:
              density: 0.40
              weight:
                - filter: embed_tokens
                  value: 0.0
                - filter: lm_head
                  value: 0.0
                - value: 0.50

      - sources:
          - model: ./google/gemma-4-31B-it
            layer_range: [12, 24]
            parameters:
              weight: 0.75
          - model: ./p-e-r-e-g-r-i-n-e/Sprinkle-Gemma-4-31B
            layer_range: [12, 24]
            parameters:
              density: 0.10
              weight:
                - filter: embed_tokens
                  value: 0.0
                - filter: lm_head
                  value: 0.0
                - value: 0.10
          - model: ./Jackrong/Gemopus-4-31B-it
            layer_range: [12, 24]
            parameters:
              density: 0.35
              weight:
                - filter: embed_tokens
                  value: 0.0
                - filter: lm_head
                  value: 0.0
                - value: 0.50
          - model: ./Heretic-RP-Engine_breadcrumbs_ties
            layer_range: [12, 24]
            parameters:
              density: 0.50
              weight:
                - filter: embed_tokens
                  value: 0.0
                - filter: lm_head
                  value: 0.0
                - value: 0.60

      - sources:
          - model: ./google/gemma-4-31B-it
            layer_range: [24, 42]
            parameters:
              weight: 0.75 
          - model: ./p-e-r-e-g-r-i-n-e/Sprinkle-Gemma-4-31B
            layer_range: [24, 42]
            parameters:
              density: 0.10 
              weight:
                - filter: embed_tokens
                  value: 0.0
                - filter: lm_head
                  value: 0.0
                - value: 0.05
          - model: ./Jackrong/Gemopus-4-31B-it
            layer_range: [24, 42]
            parameters:
              density: 0.65
              weight:
                - filter: embed_tokens
                  value: 0.0
                - filter: lm_head
                  value: 0.0
                - value: 0.65 
          - model: ./Heretic-RP-Engine_breadcrumbs_ties
            layer_range: [24, 42]
            parameters:
              density: 0.85 
              weight:
                - filter: embed_tokens
                  value: 0.0
                - filter: lm_head
                  value: 0.0
                - value: 0.75  

      - sources:
          - model: ./google/gemma-4-31B-it
            layer_range: [42, 54]
            parameters:
              weight: 0.75
          - model: ./p-e-r-e-g-r-i-n-e/Sprinkle-Gemma-4-31B
            layer_range: [42, 54]
            parameters:
              density: 0.20
              weight:
                - filter: embed_tokens
                  value: 0.0
                - filter: lm_head
                  value: 0.0
                - value: 0.20
          - model: ./Heretic-RP-Engine_breadcrumbs_ties
            layer_range: [42, 54]
            parameters:
              density: 0.40
              weight:
                - filter: embed_tokens
                  value: 0.0
                - filter: lm_head
                  value: 0.0
                - value: 0.75

      - sources:
          - model: ./google/gemma-4-31B-it
            layer_range: [54, 60]
            parameters:
              weight: 0.70 
          - model: ./p-e-r-e-g-r-i-n-e/Sprinkle-Gemma-4-31B
            layer_range: [54, 60]
            parameters:
              density: 0.25
              weight:
                - filter: embed_tokens
                  value: 0.0
                - filter: lm_head
                  value: 0.0
                - value: 0.30
          - model: ./Heretic-RP-Engine_breadcrumbs_ties
            layer_range: [54, 60]
            parameters:
              density: 0.35
              weight:
                - filter: embed_tokens
                  value: 0.0
                - filter: lm_head
                  value: 0.0
                - value: 0.65

  vision_tower:
    models:
      - model: ./google/gemma-4-31B-it

🌸 Credits & Honors

  • Google DeepMind & The Open-Source Community: For providing the brilliant base model, merges and fine-tunes that made this merge possible.
  • The BeaverAI Community: Great people, always supportive, a really nice place to hang around.
  • Mergekit: Thank you arcee-ai for the mergekit, thank you zerofata for actually providing Gemma-4 support!
  • Ateron:This guy.
  • Google Gemini:For hallucinating when I needed it the most.