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opticoder-agent-pipeline-model
alirezaaminzadeh/opticoder-agent-pipeline-model
opticoder-agent-pipeline-model is a machine learning model from alirezaaminzadeh. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for opticoder. The card lists the license as apache-2.0.
Multi-agent text-to-MILP system with structured JSON binding — numeric parameters are never LLM-copied into generated code.
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At a glance
- Library
- opticoder
- License
- apache-2.0
- Model type
- opticoder-agent-pipeline
- Access
- Public
- Created
- Aug 9, 2026
- Updated
- Aug 9, 2026
- SHA
- 858a8682
Model card
From the Hugging Face model README
OptiCoder Agent Pipeline
Multi-agent text-to-MILP system with structured JSON binding — numeric parameters are never LLM-copied into generated code.
Architecture
| Agent | Responsibility |
|---|---|
| Formulation | Classify problem type; emit symbolic LP/MILP structure |
| Binding | Extract parameters into structured JSON with provenance |
| Code Generator | Deterministic Pyomo materialization from binding |
| Solver | Execute HiGHS / CBC / SCIP |
| Validator | Feasibility, objective, constraint verification |
| Repair | Fix orientation and binding errors |
Base Model
Fine-tuned from chenyitian-shanshu/SIRL-Gurobi (SIRL / Qwen2.5 family).
Training Data
Benchmark
Related
- Library
- opticoder
- Type
- opticoder-agent-pipeline
- License
- apache-2.0
- Languages
- en
- Created
- Aug 9, 2026
- Updated
- Aug 9, 2026