Lion Optimized

AXL-Secure-Lion

Security analysis. 11.7M params. PPL 1.23. Context 2048 bytes.

12M
Parameters
1.23
Perplexity
10 min
Training
24 MB
GGUF
PropertyValue
ArchitectureMulti-Scale Transformer
d_model?
Attention Heads?
Layers per Scale?
Context Window2048 bytes
Downsample Factors[1, 2, 4]
Vocab Size258 (byte-level)
OptimizerLion
Trained on 6MB vulnerable-to-secure pairs. 180 steps in 10 min. Covers 8 vulnerability categories.
MetricValue
Final Loss0.2244
Perplexity1.23
Training Steps172
Training Time10 min

Usage

ollama create axl-secure-lion -f Modelfile
ollama run axl-secure-lion "def fibonacci():"
Detects security issues and suggests fixes.
FileSizeFormat
F16 GGUF24 MBFull precision
Q4_K_M GGUF8 MB4-bit quantized
GGUF files work with Ollama and llama.cpp. Q4_K_M is about 3x smaller than F16.
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