Architecture: Mistral-Nemo 12B Transformer Architecture
Merging Technique: Tokenizer Vocabulary Patching
Constituent Models:

• Base Model: [object Object]

Methodology: Hard-patched special tokens to ensure clean EOS handling across all llama.cpp quantizations.

> Key Upgrades Over Base Model:

• 128K Long-Context: Handles extensive document analysis and codebases easily.
• Uncensored Freedom: Full Dolphin uncensored dataset fine-tune.

// 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: Dolphin-2.9.3-Mistral-Nemo-12B-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/dolphin-2.9.3-mistral-nemo-12b) and open-source AI community tools.