Architecture: Mistral 24B Transformer with R1 Reasoning Distillation
Merging Technique: Reasoning Format Alignment & GGUF Metadata Fixes
Constituent Models:

• Base Model: [object Object]

Methodology: Applied strict tokenizer end-of-thought parsing and GGUF header repair.

> Key Upgrades Over Base Model:

• Structured Reasoning: Native support for reasoning tags prior to output generation.
• Uncensored Freedom: Zero refusal guardrails for red-teaming, complex logic, and creative tasks.
• Local Engine Fixes: Eliminates infinite reasoning loop hangs in llama.cpp and Ollama.

// 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: Dolphin3.0-R1-Mistral-24B-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 (cognitivecomputations/Dolphin3.0-Mistral-24B) and open-source AI community tools.