Publish RetailOpt codegen coder model card

README.md

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+---
+license: apache-2.0
+base_model: Qwen/Qwen2.5-Coder-1.5B-Instruct
+tags:
+- optimization
+- code-generation
+- retail
+- pyomo
+- fine-tuned
+---
+
+# RetailOpt Codegen Coder
+
+Fine-tuned Qwen2.5-Coder for natural-language retail supply-chain scenarios → executable Pyomo code.
+
+## Training
+
+| Property | Value |
+|----------|-------|
+| Base model | Qwen/Qwen2.5-Coder-1.5B-Instruct |
+| Dataset | retailopt-10k-verified |
+| Method | SFT (TRL) |
+| Task | NL + JSON → Pyomo + HiGHS |
+| Reference | SIRL-Gurobi |
+
+## Training Command
+
+```bash
+hf jobs uv run scripts/run_finetune_job.py \
+  --flavor a10g-large --timeout 3h --secrets HF_TOKEN=$HF_TOKEN --detach
+```
+
+## Intended Use
+
+Generate Pyomo optimization models for retail inventory, allocation, procurement,
+distribution, fulfillment, and pricing scenarios from structured prompts.
+
+## Limitations
+
+- Trained on simplified Pyomo templates; complex shelf-life aging may require repair loop
+- HiGHS solver required at inference time
+- Not a substitute for human OR validation on production planning systems

config.json

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+{
+  "model_type": "retailopt-codegen-coder",
+  "base_model": "Qwen/Qwen2.5-Coder-1.5B-Instruct",
+  "training_dataset": "alirezaaminzadeh/retailopt-10k-verified",
+  "task": "text-to-pyomo",
+  "fine_tune_method": "SFT",
+  "reference_sirl": "chenyitian-shanshu/SIRL-Gurobi"
+}