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Evidence
- train.py:703-706 exposes --enable-memory-monitoring only for memory logging.
- src/model_setup.py:564-590 logs CPU/GPU memory at Trainer log events.
- src/model_setup.py:823 sets report_to= ...
agorevski
Evidence
- src/model_setup.py:673-700 reads LOCAL_RANK, pins quantized models to that rank with device_map={ : local_rank}, but
uses device_map= auto for non-quantized CUDA models.
- train.py:836-838 ...
Evidence
- train.py:470-481 evaluates by calling decompile_tac_to_solidity once per test row.
- src/training_pipeline.py:880-890 has the same one-example-at-a-time evaluation loop.
- src/model_setup.py:1316-1378 ...
Evidence
- train.py:660 exposes only an explicit --resume checkpoint path.
- src/model_setup.py:974-977 resumes only when that explicit path is provided; otherwise it calls trainer.train() from
...
Evidence
- train_common.sh:21-49 loads the tokenizer and tokenizes the full dataset to auto-detect MAX_SEQ_LEN on every wrapper
launch.
- src/model_setup.py:303-327 implements that full JSONL ...
Evidence
- train.py:133-137 calls builder.collect_and_compile_contracts(..., max_workers=3, max_compiler_configs=...).
- src/dataset_pipeline.py:793-797 defines collect_and_compile_contracts(self, ...
Crear carpetas iniciales, README y organización del proyecto.
DiegoJsH
Implement this plan:
perk impl 917
Run from the repo root to start a worktree session.
!-- perk:metadata-block:plan-header -- details summary code plan-header /code /summary
run_id: 01KW3JZB66JEWBWZA070RT4AQQ ...
perk:plan
mattgiles
You can present your ideas for stage 2 here
bikeshbadhan
AdmanFreedom
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Learn how you can use GitHub Issues to plan and track your work.
Save views for sprints, backlogs, teams, or releases. Rank, sort, and filter issues to suit the occasion. The possibilities are endless.Learn more about GitHub IssuesProTip! Restrict your search to the title by using the in:title qualifier.