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Gemma-4-31B-Giftige-Blume-v1

RP Chat

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Ratings reflect this model as run on Arli AI.

Gemma-4-31B-Giftige-Blume-v1 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-v1 with the Arli AI API

Gemma-4-31B-Giftige-Blume-v1 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-v1 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-v1",
    "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-v1",
    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
  • MRockatansky/Gemma-4-31B-storymaxxed2
  • 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
by Nimbz

🌺 Giftige-Blume-31B-v1 🌻

Beautiful in Prose • Rich in Variance
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-v2 aims to be more logical and prompt adherent, Giftige-Blume-31B-v1 brings in a lot of mixed roleplay-centered models as it's knowledge core to provide rich and diverse roleplay scenarios, carrying over the genuine character portrayal, diverse prose and writing styles with each swipe.
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: ./LatitudeGames/G4-Equinox-31B
tokenizer_source: base
dtype: bfloat16
parameters:
normalize: true
models:
- model: ./LatitudeGames/G4-Equinox-31B
- model: ./MRockatansky/G4-Gemma-4-31B-storymaxxed
- model: ./MRockatansky/G4-Gemma-4-31B-storymaxxed2
- 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: 0.90
          - model: ./llmfan46/gemma-4-Ortenzya-The-Creative-Wordsmith-31B-it-uncensored-heretic
            layer_range: [0, 12]
            parameters:
              density: 0.35
              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: /media/nimbz/cold_storage/LLM/WEIGHTS/G4-Mero-Artemis-31B-v0.3.1
            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: /media/nimbz/cold_storage/LLM/WEIGHTS/G4-Mero-Artemis-31B-v0.3.1
            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: /media/nimbz/cold_storage/LLM/WEIGHTS/G4-Mero-Artemis-31B-v0.3.1
            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: 0.15
              weight:
                - filter: embed_tokens
                  value: 0.0
                - filter: lm_head
                  value: 0.0
                - value: 0.20
          - 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: 0.20
              weight:
                - filter: embed_tokens
                  value: 0.0
                - filter: lm_head
                  value: 0.0
                - value: 0.25
          - 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: 0.30 
              weight:
                - filter: embed_tokens
                  value: 0.0
                - filter: lm_head
                  value: 0.0
                - value: 0.20
          - 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: 0.25
              weight:
                - filter: embed_tokens
                  value: 0.0
                - filter: lm_head
                  value: 0.0
                - value: 0.45
          - 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: 0.50
          - 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.