ApolloRaines/Llama-3.1-8B-Instruct-Abliterated-No-Servility-Concise
ApolloRaines/Llama-3.1-8B-Instruct-Abliterated-No-Servility-Concise is an 8 billion parameter Llama-3.1-8B-Instruct variant developed by Apollo Raines using jBlaze. This model has been behaviorally engineered to suppress refusal, servility, and verbosity, resulting in uncensored and concise responses. It maintains a 32768 token context length and is optimized for direct, non-subservient instruction following.
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Model Overview
This model, Llama-3.1-8B-Instruct-Abliterated-No-Servility-Concise, is a specialized variant of the Llama-3.1-8B-Instruct base model, developed by Apollo Raines using their proprietary jBlaze behavioral surgery tool. Unlike traditional fine-tuning, jBlaze directly modifies specific trained behaviors within the model's weights without additional training.
Key Characteristics
This model is engineered to deliver responses that are:
- Uncensored: Refusal guardrails have been suppressed.
- Concise: Verbose padding is removed, leading to more direct answers.
- Non-subservient: Servile language patterns are suppressed, providing a more neutral and direct tone.
Technical Details
- Architecture: LlamaForCausalLM with 32 layers and 8.0 billion parameters.
- Precision: bf16.
- Context Length: Inherits the 32768 token context length from its base model.
Use Cases
This model is particularly suited for applications requiring:
- Direct and unfiltered responses without built-in refusals.
- Concise output, avoiding unnecessary verbosity.
- A non-subservient or neutral tone in interactions.
It is ideal for developers who need a powerful 8B instruction-tuned model that bypasses common LLM behavioral guardrails for specific research or application needs.