The 1B Bug-Hunting Revolution
XLayer AI is designed to surpass Xbow by integrating internal tool synthesis. It doesn't just call scripts; it creates them, adapts to environment responses, and thinks recursively.
Recursive Reasoning
Self-correction loops that allow the 1B model to verify its own "Thoughts" before taking action.
Internal Scripting
No static tool calls. The model writes Python code on-the-fly to handle specific packet crafting or logic flaws.
VRAM Optimized
Sub-4GB footprint. Deploy a swarm of 100 agents on a single H100 cluster for massive-scale hunting.
Architecture Innovation
To beat 70B models, XLayer uses Speculative Decoding and a Security-First Tokenizer.
Distilled Reasoning (D-CoT)
Trained on 100M tokens of logic-traces from Llama-3-405B specifically for exploit pathfinding.
Python Execution Feedback Loop
If the generated script fails, the model receives the error in its context and rewrites the exploit.