> Canonical page: https://posttrainllm.com/inspiration/hugging-face

A note of thanks · Open baselines

# Hugging Face

The model hub made small public SQL specialists available as real baselines. Those models helped us ask whether a local result survives comparison on the same task and rules.

01 · The idea

## What stayed with us

Small public SQL models provide realistic baselines and expose how much benchmark, model size, and serving format affect apparently similar claims.

02 · The local translation

## What we did with it

PostTrainLLM compared cssupport/t5-small-awesome-text-to-sql and reviewed prem-1B-SQL, Qwen SQL variants, and SQLCoder-class models.

03 · The boundary

## Where the comparison stops

Model-card scores from different datasets are directional context, not a head-to-head result against the local specialist.

Source trail

## Follow the work

- Original project [Hugging Face models ↗](https://huggingface.co/models)
- Our evidence · tried [Hugging Face model hub and SQL specialists ↗](https://posttrainllm.com/studies/hugging-face-sql-specialists)

Independent appreciation. The named projects have not endorsed or affiliated with PostTrainLLM.