🌺 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
| Temperature | 0.8 - 1.2 |
| Top-K | 0 |
| Top-P | 0.95 |
| Min-P | 0.1 - 0.2 |
| Adaptive-P Target | 0.6 |
| Adaptive-P Decay | 0.5 |
📜 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.
- Downloads last month
- 6
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support
Model tree for Nimbz/Gemma-4-Giftige-Blume-31B-v2
Merge model
this model