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Spark-X2.5-1.7B-Base-imatrix-Q4_K_M
fuzzy-mittenz/Spark-X2.5-1.7B-Base-imatrix-Q4_K_M
Spark-X2.5-1.7B-Base-imatrix-Q4_K_M is a machine learning model from fuzzy-mittenz. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for gguf. The card lists the license as apache-2.0.
Q4KM GGUF quantization made from the author's BF16 GGUF with a combined importance matrix derived from all three CSV files in the calibration dataset.
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.gguf1.1 GB · 100%
At a glance
- Library
- gguf
- License
- apache-2.0
- Access
- Public
- Created
- Sep 4, 2026
- Updated
- Sep 4, 2026
- SHA
- ddd7a8ad
Base models
Model card
From the Hugging Face model README
Spark-X2.5-1.7B-Base — imatrix Q4_K_M
Q4_K_M GGUF quantization made from the author's BF16 GGUF with a combined importance matrix derived from all three CSV files in the calibration dataset.
Artifacts
Spark-X2.5-1.7B-Base-imatrix-Q4_K_M.gguf— 1,107,458,112 bytescombined.imatrix.gguf— 1,918,784 bytesmanifest.json— provenance, source hashes, and output hashessmoke-test.txt— validation record
The combined matrix contains statistics for 168 tensors computed across 27
512-token chunks. Use a Spark-X2.5-compatible build from XHToken/llama.cpp;
generic builds may not yet recognize this architecture.
- Library
- gguf
- License
- apache-2.0
- Created
- Sep 4, 2026
- Updated
- Sep 4, 2026