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Malolmalsky/rag-hyp-commit-message-generation
rag-hyp-commit-message-generation is a text generation model from Malolmalsky. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as mit.
This repository stores the heavyweight checkpoint for the RAG-Hyp dissertation artifact. The source code, reproduction scripts, experiment matrix, and method-to-code traceability documentation are kept in the companio…
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Updated Jun 1, 2026
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From the Hugging Face model README
This repository stores the heavyweight checkpoint for the RAG-Hyp dissertation artifact. The source code, reproduction scripts, experiment matrix, and method-to-code traceability documentation are kept in the companion code repository.
| File | Size, bytes | SHA-256 |
|---|---|---|
checkpoint-170000/model.safetensors | 2061032996 | 4f1b9e1837998652bdbf6fdf1aa9fc3e006b99d72d312fcb11eab7048e73b1ef |
checkpoint-170000/config.json | 5959 | d4d3f41b44c41c7795a2717e6f5c8d0bebf93f5cf0f3f0e6c0ebad720aaaf93b |
The public commit dataset used by the reproduction pipeline is:
Malolmalsky/new-commitsThe checkpoint is based on facebook/rag-sequence-base and is intended to be loaded by the
RAG-Hyp runtime from the companion reproducibility repository.
python3 - <<'PY'
from huggingface_hub import snapshot_download
path = snapshot_download(
repo_id="Malolmalsky/rag-hyp-commit-message-generation",
allow_patterns=["checkpoint-170000/*", "artifact_manifest.json"],
)
print(path)
PY
Then point the runtime to the downloaded checkpoint:
export RAG_HYP_MODEL_PATH=/path/to/snapshot/checkpoint-170000
artifact_manifest.json records file sizes, SHA-256 hashes, the source dataset,
and the base model identifier.