Architecture: DeepSeek-R1 Distilled Llama 3 8B Transformer
Merging Technique: Safety Vector Ablation
Constituent Models:

• Base Model: [object Object]

Methodology: Ablated safety direction vectors and fixed GGUF tokenizer metadata.

> Key Upgrades Over Base Model:

• Agile Reasoning: Fast reasoning generation suited for 8GB VRAM cards.
• Uncensored: Ablated alignment layer allows unrestricted problem solving.

// 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: DeepSeek-R1-Distill-Llama-8B-ablated-Patched 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 (deepseek-ai/DeepSeek-R1-Distill-Llama-8B) and open-source AI community tools.