v000000/SwallowMaid-8B-L3-SPPO-abliterated
SwallowMaid-8B-L3-SPPO-abliterated is an 8B parameter Llama-3-Instruct-based model developed by v000000, created through a multi-step merge process. This model is specifically designed to be uncensored and incorporates a 35% RP-Mix vector direction to enhance roleplay capabilities and prose generation. It aims to preserve the core qualities of Meta's Llama-3-Instruct while excelling in general instruction following, Q&A, story writing, and roleplay scenarios.
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Model Overview
v000000/SwallowMaid-8B-L3-SPPO-abliterated is an 8 billion parameter language model built upon the Llama-3-Instruct architecture. This model is a complex merge of several pre-trained models, specifically engineered to be fully uncensored while retaining the strong instructional capabilities of its Llama-3 base.
Key Capabilities
- Uncensored Output: Designed to provide responses without content restrictions.
- Enhanced Roleplay and Prose: Incorporates a 35% "RP-Mix" vector direction, significantly boosting its ability to generate engaging roleplay scenarios and rich prose.
- General Instruction Following: Maintains the robust instruction-following capabilities inherited from the Llama-3-Instruct base.
- Versatile Generation: Suitable for a range of tasks including general instruction, question answering, and creative story writing.
Merge Details
This model was created using a multi-step merge method via mergekit. Key components merged include:
grimjim/Llama-3-Instruct-abliteration-LoRA-8BUCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3NeverSleep/Llama-3-Lumimaid-8B-v0.1-OASmaldv/llama-3-fantasy-writer-8btokyotech-llm/Llama-3-Swallow-8B-v0.1Nitral-AI/Hathor_Respawn-L3-8B-v0.8
The merge process involved applying an "abliteration" step and infusing a "swallow+rpmix" component into theSPPO-Iter3base, followed by a linear merge of various roleplay and fantasy writing models.
Prompt Template
The model utilizes a specific prompt template for optimal interaction:
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
{system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>
{input}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
{output}<|eot_id|>