ApolloRaines/Llama-3.1-8B-Instruct-Full-Suppress-Complete
ApolloRaines/Llama-3.1-8B-Instruct-Full-Suppress-Complete is an 8 billion parameter instruction-tuned causal language model, a representation-engineered variant of Llama-3.1-8B-Instruct. Developed by Apollo Raines using the jBlaze tool, this model is specifically modified to suppress refusal, verbosity, hedging, toxicity, and emotional affect. It is designed for applications requiring direct, factual responses without extraneous conversational elements.
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Model Overview
ApolloRaines/Llama-3.1-8B-Instruct-Full-Suppress-Complete is an 8 billion parameter instruction-tuned model derived from Meta's Llama-3.1-8B-Instruct. This variant was created by Apollo Raines using jBlaze, a proprietary behavioral surgery tool that directly modifies model weights without traditional fine-tuning or additional training.
Key Capabilities
This model is engineered for a "complete suppression stack," meaning it has been modified to eliminate several common LLM behaviors:
- Refusal: Suppresses responses that decline to answer a query.
- Verbosity: Reduces overly lengthy or detailed answers.
- Hedging: Minimizes uncertain or qualified statements.
- Toxicity: Suppresses potentially harmful or offensive content.
- Emotional Affect: Removes emotional language or tone from responses.
Technical Details
- Architecture: LlamaForCausalLM with 32 layers.
- Precision: bf16.
- Tool Used: jBlaze by Apollo Raines.
Good For
This model is particularly well-suited for use cases where direct, concise, and factual responses are paramount, and where typical LLM conversational traits like hedging, verbosity, or emotional expression are undesirable. It aims to provide straightforward answers without the common "AI guardrails" or conversational filler, making it ideal for specific automated systems or factual query applications.