| --- |
| license: other |
| tags: |
| - text-to-sql |
| - schema-linking |
| - grast-sql |
| language: |
| - en |
| --- |
| |
| # GRAST-SQL bundle |
|
|
| Companion artifact bundle for the **GRAST-SQL** code repo |
| (`github.com/thanhdath/grast-sql-dev`). Holds the trained checkpoints, datasets, |
| precomputed embeddings, and a MongoDB dump that are too large for git, so another |
| machine can `git pull` the code and pull this bundle to continue work. |
|
|
| > See **`CONTINUE.md`** in the code repo for full bootstrap instructions. |
|
|
| ## Contents |
| ``` |
| embeddings/ |
| grast-0.6b-swift-merged/ # stage1 0.6B retriever (merged) — default |
| grast-4b-swift-merged/ # stage1 4B retriever (merged) |
| grast-0.6b-flagembed-merged/ # stage1 0.6B FlagEmbedding variant |
| gnn/ |
| bird/*.pt spider/*.pt # stage2b GNN rerankers (0.6B/4B/8B, layer/hidden sweep) |
| deepseek-1.3b-l3-h2048/ # 1.3B GNN reranker (best epoch + train_log) |
| reranker/ |
| deepseek-1.3b-lora/ # 1.3B reranker LoRA adapter (base: deepseek-coder-1.3b-base) |
| embeddings_cache/ |
| bird-dev-reranker-1.3b/ # precomputed bird-dev embeddings (regenerable) |
| gretriever/ lora_v3_scoringhead-best.pt, lora_v5_birdheavy-best.pt |
| hetero_gnn/ v1t-epoch04.pt |
| data/ # mirrors the repo's data/ (BIRD dev/train graphs+emb, Spider 2.0) |
| mongo/grast/ # grast DB dump: synsql_samples / synsql_database / reforce (jsonl.gz) |
| ``` |
|
|
| ## Quick start |
| ```bash |
| pip install -U "huggingface_hub[cli]" |
| hf download thanhdath/grast-sql-bundle --repo-type model --local-dir hf_bundle |
| # restore mongo: |
| python scripts/restore_grast_mongo.py --in hf_bundle/mongo/grast |
| ``` |
|
|
| ## Notes |
| - Base models (Qwen3-Embedding/Reranker, deepseek-coder-1.3b) are **not** included — |
| download them from HF on demand; only fine-tuned/merged weights are shipped here. |
| - The `mats` MongoDB (eval result collections) and raw `synsql` (16 GB) are excluded; |
| they are regenerated by the eval scripts. The `grast` dump contains the training samples. |
|
|