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AXL — Architecture eXperimental Lab

27 CPU-Optimized Code Generation Models by Cubic

All models are trained from scratch on consumer hardware (AMD Ryzen 5 5600G, 16GB RAM). No GPU required.

Models

Lion-Optimized (Recommended)

Model Params PPL GGUF (F16) GGUF (Q4_K_M)
AXL-Code-1B-Lion 318M 1.90 606 MB 188 MB
AXL-Reasoning-Lion 70M 1.03 134 MB 44 MB
AXL-Refactor-Lion 19.1M 1.02 37 MB 12 MB
AXL-TestGen-Lion 15.2M 1.02 30 MB 18 MB
AXL-Chat-Lion 9.9M 1.03 19 MB 7 MB
AXL-Micro-Lion 12.8M 1.04 25 MB 15 MB
AXL-Secure-Lion 11.7M 1.03 23 MB 8 MB
AXL-Docs-Lion 9.9M 1.01 19 MB 7 MB
AXL-Comment-Lion 7.2M 1.02 14 MB 5 MB

SGD Models

Model Params PPL Focus
AXL-Micro-600K 600K 63.08 Demo
AXL-Micro-8M 12.8M 3.13 Code gen
AXL-Coder-15M 26.0M 5.97 Agentic
AXL-Debugger-8M 14.1M 6.60 Bug fixing
AXL-Fixer-12M 20.9M 5.90 Debug
AXL-Reasoning-70M 70M 1.93 CoT
AXL-300M 322M 5.98 Flagship
AXL-Chat-10M 9.9M 1.02 Dialogue
AXL-TestGen-15M 15.2M 1.01 Test gen
AXL-Refactor-20M 19.1M 1.01 Refactoring
AXL-Docs-8M 9.9M 1.03 Docstrings
AXL-Comment-5M 7.2M 1.01 Comments
AXL-Secure-10M 11.7M 1.01 Security

Specialized Models

Model Params PPL Focus
AXL-Code-1B 318M 31.22 Code gen (SGD)
AXL-Chat-Pro 12.8M 3.42 Advanced chat
AXL-Translate 15.2M 1.86 Code translation
AXL-Vision-0.8M 1M Vision encoder
AXL-Vision-v2 4.1M UI vision

Quick Start

Python API Server (Full Quality - Recommended)

pip install -e .
python AXL/API/serve_model.py --model AXL-Micro-Lion/ --port 8880

# OpenAI-compatible endpoint:
curl  \
  -H "Content-Type: application/json" \
  -d '{"prompt": "def fibonacci(n):", "max_tokens": 100}'

# Works with Continue.dev, LlamaIndex, LangChain, Cursor
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