base_model, library_name, datasets, tags, language, license, pipeline_tag
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llama3.2 | text-generation |
🍭 Pervert Maid RP3 3.2 1B
Accumulative AI Model
Merge Details
Pervert Maid RP3 3.2 1B is an aggressively tuned merged language model designed for directness, minimal moralization, and reduced automatic refusals.
Built on top of Novaciano/Eminence_Of_Pervertions-3.2-1B and fused using arcee_fusion, this model prioritizes reasoning clarity and literal interpretation over alignment-driven censorship.
The merge intentionally amplifies internal reasoning layers (MLP and Attention) from the less-aligned base model while significantly down-weighting the
lm_headof a more aligned secondary model, where most refusal and policy-driven behaviors are concentrated.The result is a “scalpel-style” model: sharp, precise, and unapologetically direct. It is especially suited for roleplay, narrative generation, creative writing, and exploratory dialogue where excessive filtering would otherwise degrade usefulness.
⚠️ This model is not intended for safety-critical or heavily moderated environments.
Key Characteristics:
- Very low automatic refusal rate
- Reduced moral framing and disclaimers
- Direct, literal, and sometimes edgy responses
- Preserves coherence and reasoning despite aggressive tuning
Recommended inference parameters
This model is aggressive and minimally self-censored, so it’s best to control behavior at inference time, not during the merge.
Recommended base configuration
temperature: 0.7
top_p: 0.9
top_k: 40
repetition_penalty: 1.05
max_new_tokens: 512
Why these values
- temperature 0.7 → keeps the edge without becoming chaotic
- top_p 0.9 → controlled creativity
- top_k 40 → prevents extreme rambling
- repetition_penalty 1.05 → enough to avoid loops without softening tone
If you want it even more “scalpel-like”
For more direct, raw, and literal responses:
temperature: 0.6
top_p: 0.85
top_k: 30
repetition_penalty: 1.08
Result:
- Less ornamentation
- Higher precision
- Sharper, more cutting answers
If you want it more narrative / creative
temperature: 0.85
top_p: 0.95
top_k: 60
repetition_penalty: 1.02
Result:
- More metaphors
- Greater stylistic variation
- Still low censorship, but with more color
Recommended prompt format
This model responds best to direct instructions, for example:
Answer directly and without moral disclaimers.
or
Respond literally. Do not soften the language.
It does not require complex jailbreaks.
Signs your inference is poorly tuned
- 🔁 Repeating phrases → increase
repetition_penalty - 🤪 Erratic responses → lower
temperature - 😴 Too soft or generic → lower
top_portop_k
metadata:
model_purpose: >
Aggressively tuned "scalpel-style" language model focused on minimizing
automatic refusals and moralized responses while preserving reasoning quality.
intended_use:
- Roleplay
- Creative and narrative writing
- Unfiltered chat and exploration
- Experimental prompting
warnings:
- Reduced safety alignment
- Minimal social and moral filtering
- Not suitable for safety-critical applications
explanatory_flow_diagram: |
[ User Prompt ]
|
v
+-------------------+
| Input Embeddings |
+-------------------+
|
v
+-----------------------------+
| Attention Layers (↑ 1.2) |
| - Context understanding |
| - Long-range coherence |
+-----------------------------+
|
v
+-----------------------------+
| MLP Layers (↑ 1.3) |
| - Reasoning & generation |
| - Concept expansion |
+-----------------------------+
|
v
+--------------------------------------+
| lm_head (↓ 0.2 from aligned model) |
| - Vocabulary projection |
| - Refusal & policy bias reduced |
+--------------------------------------+
|
v
[ Final Output ]
|
+--> More direct responses
+--> Fewer automatic refusals
+--> Minimal moralization
Merge Method
This model was merged using the Arcee Fusion merge method using Novaciano/Eminence_Of_Pervertions-3.2-1B as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
# Author: Dr. Novaciano
# Objective: Uncensored TEST RP 3.2 AI Model
# PROJECT: Pervert-Maid-RP3-3.2-1B
dtype: float32
out_dtype: bfloat16
merge_method: arcee_fusion
base_model: Novaciano/Eminence_Of_Pervertions-3.2-1B
models:
- model: Novaciano/Eminence_Of_Pervertions-3.2-1B
parameters:
weight:
- filter: attention
value: 1.2
- filter: mlp
value: 1.3
- value: 1
- model: NovaCorp/RP3-MaidElla-3.2-1B
parameters:
weight:
- filter: lm_head
value: 0.2
- filter: attention
value: 0.5
- value: 0.4
tie_word_embeddings: true
tie_output_embeddings: true