About
Particula-Code generates production-quality code, not just code that looks plausible. Trained on millions of real-world repositories with a focus on code that actually compiles, passes tests, and follows language idioms. Supports Python, TypeScript, Go, Rust, and more.
≤7BParameters
98%+Accuracy
Code GenerationOptimized For
Use Cases
Code completionFunction generationCode translationTest generationDocumentation generation
How this model is built
Three engineering choices that make a 7B model outperform 175B generalists on its task.
01
Repository-Scale Training
Trained on millions of real-world repositories with a focus on code that compiles, not code that looks plausible. Style is learned, not pasted.
02
Test-Driven Reward
Reinforcement learning from passing test suites. The model learns what works, not just what looks right to a code reviewer.
03
Multi-Language Native
Python, TypeScript, Go, Rust, and Java are first-class. Idiomatic in each, not transliterated from one base language.
Performance Comparison
MetricParticula-CodeGeneral Models
Syntax validity98%+~90%
Test pass rate85%+~65%
Code accuracy98%+~88%
Cost per 1M tokens$0.03$1-75
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