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