Text Classification
PEFT
lora
document-question-answering
structured-decisions
calibration
synthetic-evaluation
Instructions to use botp/Solomon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use botp/Solomon with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
| import argparse | |
| import json | |
| from pathlib import Path | |
| def main(): | |
| parser = argparse.ArgumentParser(description="Private Solomon BF16 MLX tooling") | |
| commands = parser.add_subparsers(dest="command", required=True) | |
| verify = commands.add_parser("verify-source") | |
| verify.add_argument("directory") | |
| download = commands.add_parser("download-base") | |
| download.add_argument("--output", default="snapshots/base") | |
| convert = commands.add_parser("prepare") | |
| convert.add_argument("--base", default="snapshots/base") | |
| convert.add_argument("--solomon", default="snapshots/solomon") | |
| convert.add_argument("--manifest", default="snapshots/base-manifest.json") | |
| convert.add_argument("--output", default="models/quality") | |
| decide = commands.add_parser("decide") | |
| decide.add_argument("--model", default="models/quality") | |
| decide.add_argument("--document", required=True) | |
| decide.add_argument("--questions", required=True) | |
| decide.add_argument( | |
| "--evidence", choices=["none", "support", "sufficiency", "removal"], default="support" | |
| ) | |
| args = parser.parse_args() | |
| if args.command == "verify-source": | |
| from .artifacts import verify_release | |
| print(json.dumps(verify_release(args.directory), indent=2)) | |
| elif args.command == "download-base": | |
| from huggingface_hub import HfApi, snapshot_download | |
| from .artifacts import BASE_REVISION | |
| from .prepare import verify_base | |
| model = HfApi().model_info("Qwen/Qwen3.8-27B", revision=BASE_REVISION, files_metadata=True) | |
| manifest = { | |
| "revision": model.sha, | |
| "files": [ | |
| { | |
| "name": f.rfilename, | |
| "size": f.size, | |
| "blob_id": f.blob_id, | |
| "sha256": f.lfs.sha256 if f.lfs else None, | |
| } | |
| for f in model.siblings | |
| ], | |
| } | |
| Path(args.output).parent.mkdir(parents=True, exist_ok=True) | |
| Path(args.output + "-manifest.json").write_text(json.dumps(manifest, indent=2)) | |
| snapshot_download("Qwen/Qwen3.8-27B", revision=BASE_REVISION, local_dir=args.output, max_workers=18) | |
| verified = verify_base(args.output, manifest) | |
| Path(args.output + "-verified.json").write_text(json.dumps(verified, indent=2)) | |
| elif args.command == "prepare": | |
| from .prepare import prepare | |
| prepare(args.base, args.solomon, args.output, args.manifest) | |
| else: | |
| from .api import Solomon | |
| model = Solomon.load(args.model) | |
| with model.prefill(Path(args.document).read_text()) as state: | |
| print( | |
| json.dumps( | |
| model.decide( | |
| state=state, | |
| questions=json.loads(Path(args.questions).read_text()), | |
| evidence=args.evidence, | |
| ), | |
| indent=2, | |
| ) | |
| ) | |
| if __name__ == "__main__": | |
| main() | |