tutorials: compose ALORA model from source in race notebook#56
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May 21, 2026 17:38
Replace the pre-built Hub checkpoint (granite-switch-4.1-3b-preview) with a freshly composed model, so both race legs are built from the same three granitelib adapters using the same compose pipeline. The ALORA leg uses no --technology-filter so the composer prefers ALORA adapters and falls back to LoRA where unavailable — symmetric with the existing LoRA leg which uses --technology-filter lora.
Also fix stale section 4 markdown that still referenced the Hub checkpoint after the previous commit switched to composing from source.
guardian_check's target_role= kwarg was removed; use scoring_schema='user_prompt'.
The coloransi import was patching TermColors attributes that were never read anywhere in the file — dead code. Removing it makes the script runnable outside Jupyter without requiring ipython installed.
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Summary
ibm-granite/granite-switch-4.1-3b-previewHub checkpoint with a freshly composed model in the ALORA race leg, so both legs are built from the same three granitelib adapters using the same compose pipeline (no--technology-filter, so ALORA is preferred with LoRA as fallback)--alora-modeltobench_pipeline_race.pyin the ALORA benchmark cellbench_pipeline_race.py:target_role→scoring_schema,utcnow()→datetime.now(datetime.UTC), remove dead IPython importTest plan