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README.md

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+# VERBAREX
+
+We focus on fine-tuning large language models for improved factual consistency and instruction adherence.
+
+Our primary goal is bridging the gap between raw base models and practical, stable assistants. We test and release models optimized for specific behavioral constraints, minimizing hallucinations in open-ended generation.
+
+### Current Projects
+
+* **LuminoLex Series:** A set of fine-tuned models based on the Qwen architecture, optimized for strict identity retention and factual accuracy.
+  * *LuminoLex-14B:* Our flagship instruct-tuned model.
+
+### Roadmap
+
+* **Foundation Models:** We are currently establishing data pipelines and infrastructure to pre-train custom architectures from scratch.