Run memory-safe frozen V121 semantic residual #3

	name: Trace Ace V121 Model Export

	on:
	pull_request:
	branches: [agent/trace-ace-mastery-events, agent/v111-runner]
	paths:
	- '.github/workflows/trace-ace-v121-model-export.yml'
	workflow_dispatch:

	jobs:
	export:
	runs-on: ubuntu-24.04
	timeout-minutes: 10
	permissions:
	contents: read
	steps:
	- uses: actions/checkout@v4
	- uses: actions/setup-python@v5
	with:
	python-version: '3.13'
	- name: Install exact FastEmbed
	run: python -m pip install --disable-pip-version-check fastembed==0.8.0
	- name: Fetch and locate exact Jina model
	run: \|
	python - <<'PY'
	from fastembed import TextEmbedding
	import tempfile, pathlib, json
	cache = pathlib.Path('/tmp/v121_fastembed_cache')
	m = TextEmbedding(model_name='jinaai/jina-embeddings-v2-small-en', cache_dir=str(cache))
	print('MODEL_DICT', json.dumps({k:str(v) for k,v in m.__dict__.items()}, default=str, indent=2))
	print('CACHE', cache)
	PY
	echo 'MODEL FILES:'
	find /tmp/v121_fastembed_cache -type f -printf '%p %s\n' \| sort
	du -sh /tmp/v121_fastembed_cache
	- uses: actions/upload-artifact@v4
	with:
	name: v121-jina-fastembed-cache
	path: /tmp/v121_fastembed_cache/
	retention-days: 2
	compression-level: 0

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