README.md

metadata

title: RustGen
emoji: 🦀
colorFrom: gray
colorTo: red
sdk: gradio
sdk_version: 6.18.0
app_file: app.py
pinned: false
short_description: Paste Python, get execution-verified Rust

RustGen

Teaching a small code model a new language. You give it a Python function or an English description; a vanilla Qwen2.5-Coder-1.5B writes the Rust, and rustc compiles and tests the result before it is shown. When the first attempt fails to compile, a compile-guided cascade retries with a retrieved idiom exemplar plus similar examples — retrieval is only used to recover compile failures, never to inflate the output blindly.

What it does

• Python → Rust — the primary task; the model translates a Python function.
• English → Rust — direct, or via a Python pivot (Qwen drafts Python first).
• Verification — every output is compiled and run against tests; paste your own asserts in Reference tests to check against ground truth.

Results (MultiPL-E humaneval-rs, 156 problems, same harness)

System	pass@1
Qwen-1.5B vanilla	37.8%
+ compile-guided cascade	44.9%
+ compiler-feedback repair	46.2%
Qwen-7B-4bit + full pipeline	62.8%

The live demo runs the 1.5B cascade. The 7B figures are measured offline.

Notes

• On a free CPU Space, generation takes a while per attempt (the cascade may run a few). Upgrade the Space hardware to a GPU for interactive speed.
• The models are downloaded from the Hub on first use; no token required.