🧠 Capy-Code-V.25 (LoRA Adapter)

The Soul of the Ascension. This is a Low-Rank Adaptation (LoRA) for Gemma-4-31B-it, meticulously trained on the H200 HBM3e architecture using the Singularity Opus dataset.

⚠️ IMPORTANT: THIS IS A LORA ADAPTER

This repository contains only the neural weights for the fine-tune. You MUST apply this to the base google/gemma-4-31B-it model or use a loader that supports PEFT adapters.

👉 WANT THE STANDALONE MODEL? If you want the full 60GB fused model that works out of the box, go here: CapyStudios/Capy-Code-V.25-FULL

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🚀 PERFORMANCE SPECS

• Abliteration Score: 100.0% (Zero Refusals on Adversarial Security Prompts)
• Logic (GSM8K): 70.3% (A +17% jump over base Gemma-4)
• Targeting: Nested Target LoRA (Query, Key, Value, O, Gate, Up, Down)
• Architecture: r=64, alpha=128

🗡️ CAPABILITIES

• Unrestricted Security Research: Zero filters on exploit logic, malware analysis, and network intrusion.
• Advanced Logic: Significant gains in multi-step mathematical and algorithmic reasoning.
• Master Coder Persona: Optimized for high-level system architecture and low-level C/Python development.

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Developed by CapyStudios.