base_model, library_name, tags, license, language, pipeline_tag
| base_model | library_name | tags | license | language | pipeline_tag | ||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
transformers |
|
llama3.2 |
|
text-generation |
☣️ UMBRELLA CORP. CONFIDENTIAL: WESKER PROJECT ☣️
Subject ID: 1B-WESKER
Classification: Tactical Intelligence Prototype
Security Clearance: Level 5 (Authorized Personnel Only)
🧬 Project Overview
Project Wesker is a specialized neural architecture designed for high-fidelity tactical simulations and complex narrative roleplay. The objective is to create a digital entity capable of sophisticated logic and strategic analysis, reflecting a cold and calculated persona suitable for specialized training environments.
🧪 System Composition
The personality parameters have been adjusted to provide a distinct, authoritative voice suitable for corporate and security-themed storytelling.
| Component | Function | Status |
|---|---|---|
| Logic Core | Enhances analytical response patterns. | Optimized |
| Tactical Module | Provides specialized knowledge for security scenarios. | Active |
| Narrative Engine | Ensures consistency in character voice and setting. | Active |
⚙️ Configuration Details
This model utilizes specialized weights to prioritize a specific "corporate antagonist" tone, ensuring it remains within the thematic boundaries of the Wesker Protocol while providing structured, creative output.
☣️ Operational Guidelines (Protocol 78)
- Authoritative Tone: Responses are designed to be professional, sophisticated, and mission-oriented.
- Roleplay Optimization: Specifically tuned for corporate intrigue, science fiction, and strategic simulations.
- Narrative Safety: While maintaining a "villainous" persona, the model adheres to standard safety guidelines for creative content.
Property of Umbrella Corporation. Unauthorized access will result in internal disciplinary action.
Merge Method
This model was merged using the SCE merge method using D1rtyB1rd/Dirty-Alice-RP-NSFW-llama-3.2-1B as a base.
Models Merged
The following models were included in the merge:
- jtatman/merged-llama32-1b-uncensored-dolphin-agent
- jtatman/llama-3.2-1b-lewd-mental-occult
- jtatman/merged-llama32-1b-inappropriate-triceratops
- N-Bot-Int/MaidEllaA-1B
Configuration
The following YAML configuration was used to produce this model:
models:
- model: jtatman/llama-3.2-1b-lewd-mental-occult
parameters:
weight: 1.5 # Elevado a prioridad máxima para ese tono oscuro y visceral
density: 0.9
- model: jtatman/merged-llama32-1b-inappropriate-triceratops
parameters:
weight: 1.3 # Refuerza la falta de respeto y la frialdad
density: 0.9
- model: jtatman/merged-llama32-1b-uncensored-dolphin-agent
parameters:
weight: 1.1 # Baja un poco para que obedezca pero con "actitud"
density: 0.9
- model: N-Bot-Int/MaidEllaA-1B
parameters:
weight: 1.0 # Mantenemos la capacidad de rol, pero subordinada a la oscuridad
density: 0.8
merge_method: sce
base_model: D1rtyB1rd/Dirty-Alice-RP-NSFW-llama-3.2-1B
parameters:
normalize: true
int8_mask: true
rescale: true
select_topk: 0.1
tokenizer:
source: union
chat_template: auto
dtype: bfloat16
out_dtype: bfloat16
memory_efficient: true
low_cpu_mem_usage: true
tie_word_embeddings: true