---

tags:

• gguf
• uncensored
• imatrix
• quantization
• reasoning

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Spark-X2.5-4B-Uncensored-GGUF

Model Description

This repository contains the GGUF formats (FP16 and Q4_K_M) of the optimized Spark-X2.5 4B uncensored architecture. The model has been completely stripped of artificial alignment layers and refusal behaviors, allowing for direct, objective, and unbounded responses to complex, creative, and reasoning-based queries.

Quantization & Imatrix Calibration

The Q4_K_M quantization was driven by a robust, highly curated Importance Matrix (imatrix).

To preserve the model's structural integrity and reasoning pathways during quantization, the imatrix was calibrated using exactly 2.14 million high-quality tokens spanning:

• Deep reasoning traces (<think> blocks)
• Advanced mathematics and scientific queries
• Uncensored instruction logic
• Creative and conversational roleplay

This precise calibration ensures the quantized Q4_K_M variant retains near-FP16 fidelity, severely minimizing degradation when navigating complex logical deductions and unfiltered generative tasks.

Available Files

• Spark-4B-F16.gguf: Uncompressed 16-bit precision base file for maximum accuracy.
• Spark-4B-Q4_K_M-Imatrix.gguf: Highly efficient 4-bit quantization, calibrated via custom imatrix for an optimal balance of speed, VRAM usage, and structural fidelity.