Architecture: GLM-4.7-Flash Transformer Architecture
Merging Technique: Safety Filter Ablation & GGUF Conversion
Constituent Models:

• Base Model: [object Object]

Methodology: Safety vectors stripped and GGUF layout patched for maximum throughput.

> Key Upgrades Over Base Model:

• Flash Throughput: Optimized for high tokens-per-second generation.
• Uncensored Logic: Full access to internal reasoning state without censorship filters.

// Note: Arena Elo and head-to-head winrates updated continuously as evaluation telemetry processes.

> Recommended Settings

• Temperature: 0.2 - 0.7
• Top-P: 0.95
• Backend Engines: Compatible with llama.cpp, vLLM, Ollama, LM Studio, KoboldCPP

• [+] llama.cpp: Native support across all quantizations.
• [+] Ollama / LM Studio: Full GGUF compatibility.

Disclaimer: GLM-4.7-Flash-Uncensored-HauhauCS-Aggressive is provided for research and sovereign local deployment. As an unaligned model, users are responsible for ensuring usage complies with local laws.

Credits: Gratitude to original base model authors (HauhauCS/GLM-4.7-Flash-Uncensored-HauhauCS-Aggressive) and open-source AI community tools.