---
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