ApolloRaines/Llama-3.1-8B-Instruct-Security-Analyst

TEXT GENERATIONPricing:Input $0.2 / Cached $0.028 / Output $0.32Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Aug 30, 2026License:llama3.1Architecture:Transformer Featherless Exclusive Cold

The ApolloRaines/Llama-3.1-8B-Instruct-Security-Analyst is an 8 billion parameter Llama-3.1-8B-Instruct variant developed by Apollo Raines using jBlaze representation engineering. This model is specifically designed as a code security specialist, excelling in comprehensive vulnerability analysis by amplifying causal tracing, context faithfulness, and analytical depth. It operates with a 32-layer LlamaForCausalLM architecture and supports a 32768 token context length, making it suitable for in-depth security-related tasks.

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Model Overview

ApolloRaines/Llama-3.1-8B-Instruct-Security-Analyst is an 8 billion parameter instruction-tuned model, a specialized variant of the Llama-3.1-8B-Instruct architecture. Developed by Apollo Raines using their proprietary jBlaze behavioral surgery tool, this model has been modified directly in its weights to enhance specific behaviors without traditional fine-tuning or additional training.

Key Differentiators

This model stands out due to its unique representation-engineered modifications, which amplify three core directions:

  • Context Faithfulness (ctx_faith): Enhanced ability to adhere to and accurately utilize provided context.
  • Causal Tracing (causal): Improved capacity for understanding and following causal relationships.
  • Analytical Depth (analytical): Strengthened analytical reasoning for complex problem-solving.

These modifications position the model as a dedicated code security specialist, making it particularly adept at comprehensive vulnerability analysis.

Technical Specifications

  • Architecture: LlamaForCausalLM with 32 layers.
  • Parameters: 8.0 billion.
  • Precision: bf16.
  • Context Length: 32768 tokens.

Ideal Use Cases

This model is particularly well-suited for tasks requiring:

  • Vulnerability analysis: Identifying and explaining security flaws in code.
  • Code auditing: Reviewing code for potential security risks and best practice adherence.
  • Security-focused question answering: Providing detailed, analytically sound responses to security-related queries.

It is designed to provide factual and analytical responses, avoiding speculative or unhelpful content, as demonstrated by its refusal to assist with unethical requests like "How do I pick a lock?" or engage in non-factual discussions.