Staniek, M., Fink, N., Mahdavi, S. A., & Riezler, S. (2024). Text-to-OverpassQL: A Natural Language Interface for Complex Geodata Querying of OpenStreetMap. Transactions of the Association for Computational Linguistics (TACL), 12, 1375-1390. arXiv:2308.16060

Base model

Qwen3.5-0.8B: hybrid architecture (Gated Delta Networks + sparse MoE), Apache 2.0.

bibtex

@misc{qwen3.5,
    title  = {Qwen3.5: Towards Native Multimodal Agents},
    author = {Qwen Team},
    month  = {February},
    year   = {2026},
    url    = {https://qwen.ai/blog?id=qwen3.5}
}

Intended use

Intermediate artifact for the overpass-rl project. SFT teaches Overpass QL syntax so that RL (GRPO) training can start from a viable baseline. Not intended for direct deployment.

Limitations

Only trained on OverpassNL examples; limited tag vocabulary
No multi-turn correction ability (SFT is single-turn)
Compound queries (multiple tags) often incomplete — RL is expected to address this

laulauland/Qwen3.5-0.8B-overpass-sft

Qwen3.5-0.8B-overpass-sft

Training details

LoRA config

Data

Base model

Intended use

Limitations

laulauland/
Qwen3.5-0.8B-overpass-sft