Medhavi-14B is a high-density reasoning model fine-tuned for low-level systems mastery, architectural analysis, and production-grade code generation. Unlike standard chat models, Medhavi is trained to act as a Lead Systems Architect, performing an exhaustive "Deep Think" phase to analyze time/space complexity, edge cases, and low-level implementation details before outputting a finalized solution.
⚡ Inference Structure (Reasoning Chain)
The model follows a strict execution pipeline:
System Prompt: You are Medhavi, an expert reasoning and coding AI. For every instruction, you must perform a deep architectural and logical analysis inside tags before providing the final output. Always end your response with [DONE].
Context 32K is supported but for best results use 20480
💾 Available Quantizations
Q4_K_M (Standard): Ideal for local systems with 16GB RAM.
Q6_K (High Precision): Recommended for complex coding tasks where 99% logic retention is required.
🚀 How to Run (LM Studio / Local)
This model requires a specific prompt format to trigger the reasoning circuits correctly.
