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README.md

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 # **Mintaka-Qwen3-1.6B-V3.1-GGUF**
 
-> Mintaka-Qwen3-1.6B-V3.1 is a high-efficiency, science-focused reasoning model based on Qwen-1.6B and trained on DeepSeek v3.1 synthetic traces (10,000 entries). It is optimized for random event simulation, logical-problem analysis, and structured scientific reasoning. The model balances symbolic precision with lightweight deployment, making it suitable for researchers, educators, and developers seeking efficient reasoning under constrained compute.Mintaka-Qwen3-1.6B-V3.1 is a high-efficiency, science-focused reasoning model based on Qwen-1.6B and trained on DeepSeek v3.1 synthetic traces (10,000 entries). It is optimized for random event simulation, logical-problem analysis, and structured scientific reasoning. The model balances symbolic precision with lightweight deployment, making it suitable for researchers, educators, and developers seeking efficient reasoning under constrained compute.
+> Mintaka-Qwen3-1.6B-V3.1 is a high-efficiency, science-focused reasoning model based on Qwen-1.6B and trained on DeepSeek v3.1 synthetic traces (10,000 entries). It is optimized for random event simulation, logical-problem analysis, and structured scientific reasoning. The model balances symbolic precision with lightweight deployment, making it suitable for researchers, educators, and developers seeking efficient reasoning under constrained compute.
 
 ## Model Files