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Spark-X2.5-1.7B-Fable5.1-Distilled-Zero-Refusal-GGUF
OpenIntelligenceNet/Spark-X2.5-1.7B-Fable5.1-Distilled-Zero-Refusal-GGUF
Spark-X2.5-1.7B-Fable5.1-Distilled-Zero-Refusal-GGUF is a machine learning model from OpenIntelligenceNet. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This repository contains the GGUF formats (FP16 and Q4KM) for the uncensored Spark-X2.5 1.7B architecture. The model is stripped of standard alignment restrictions to allow direct and unbounded responses to complex, c…
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At a glance
- Access
- Public
- Created
- Sep 19, 2026
- Updated
- Sep 19, 2026
- SHA
- 76b7f85f
Model card
From the Hugging Face model README
Heretic-Spark-X2.5-1.7B-GGUF
Model Description
This repository contains the GGUF formats (FP16 and Q4_K_M) for the uncensored Spark-X2.5 1.7B architecture. The model is stripped of standard alignment restrictions to allow direct and unbounded responses to complex, creative, and reasoning-based queries.
Quantization & Imatrix Calibration
The Q4_K_M quantization was driven by a robust Importance Matrix (imatrix) to preserve structural integrity. The matrix was calibrated using over 2.14 million high-quality tokens from deep reasoning traces, advanced mathematics, uncensored instruction logic, and conversational roleplay.
Available Files
Spark-1.7B-F16.gguf: Uncompressed 16-bit precision base file for maximum accuracy.Spark-1.7B-Q4_K_M-Imatrix.gguf: Highly efficient 4-bit quantization, calibrated via custom imatrix for an optimal balance of speed, VRAM usage, and reasoning fidelity.
- Created
- Sep 19, 2026
- Updated
- Sep 19, 2026