English-to-Neural Programs Compiler Launched
π‘Compile English to 22MB local neural funcs beating 32B prompts on fuzzy tasks
β‘ 30-Second TL;DR
What Changed
Neural compiler generates LoRA + pseudo-program from English specs
Why It Matters
Enables easy creation of fuzzy functions locally without retraining base models, ideal for custom tasks like urgency classification. Reduces inference costs dramatically for practitioners.
What To Do Next
Install programasweights via pip and compile 'Count verbs in text' for local testing.
Key Points
- β’Neural compiler generates LoRA + pseudo-program from English specs
- β’Qwen 0.6B interpreter (594MB) + 22MB per program, runs on llama.cpp
- β’73.4% FuzzyBench score vs 32B prompting's 68.7%
- β’Also supports GPT-2 124M for browser via WebAssembly
- β’pip install programasweights for instant use
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Original source: Reddit r/LocalLLaMA β
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