Lion Optimized

AXL-Secure-10M

Security analysis. 11.7M params. PPL 1.20. Context 2048 bytes.

12M
Parameters
1.20
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
Retrained with Lion on 6MB security pairs. 180 steps in 10 min.
MetricValue
Final Loss0.1676
Perplexity1.20
Training Steps180
Training Time10 min

Usage

ollama create axl-secure-10m -f Modelfile
ollama run axl-secure-10m "def fibonacci():"
Detects security issues and suggests fixes.
FileSizeFormat
F16 GGUF24 MBFull precision
Q4_K_M GGUF24 MB4-bit quantized
GGUF files work with Ollama and llama.cpp. Q4_K_M is about 3x smaller than F16.
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