| What it does | Fine-tuned small models for English-to-Bash command generation
| Deterministic English-to-Code Compiler
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
| US
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| Pricing model | Open source
| Freemium
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| Pricing | Not given
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| Key features | - 1.5B and 0.6B fine-tuned models
- 401,975 synthetic training examples
- 4-bit quantized models
- CLI with llama.cpp integration
- Command preview mode
- Covers file operations, text processing, Git, archives, networking
- Training data and checkpoints available
- Apache 2.0 and MIT licensed
- ALFA-updated benchmark evaluation
- Supervised fine-tuning with LoRA
| - Compiles English sentences to eleven programming languages
- Generates SHA-256 hash for each compile
- Produces requirement-to-code traceability matrix
- MISRA-C:2012 screening checks
- Exports audit evidence in CSV, ReqIF and HTML formats
- Typical compile time under 100ms
- No third-party AI models or inference services
- Generates ISO 26262 TCL-1 classification documents
- Provides DO-178C tool-qualification data pack
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| What makes it different | - 70.7% pass rate on ALFA-updated benchmark vs 63.7% for competing models
- CPU-friendly quantized models
- Specialized for bash command generation from natural language
- Agentically trained with synthetic data generation and evaluation
| - Deterministic output: same specification always produces identical bytes
- Rule-based compiler without AI models ensures security and auditability
- Full requirement-to-code traceability for certification
- Eleven target languages from single English specification
- Built-in audit evidence for safety-critical certification
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 36 ● no change since last check | Not checked yet ● no change since last check |
| Trust Flow (Majestic) | 6 | 2 |
| Citation Flow (Majestic) | 32 | 12 |
| Referring domains (Majestic) | 219 | 11 |