temsa/OpenMed-mLiteClinical-IrishCorePII-135M-v2-rc2

Second QA release candidate for Irish core PII detection with OpenMed mLiteClinical.

This repository should be evaluated against the public release and the previous RC:

• current public release: temsa/OpenMed-mLiteClinical-IrishCorePII-135M-v1
• previous RC: temsa/OpenMed-mLiteClinical-IrishCorePII-135M-v2-rc1
• this repository: temsa/OpenMed-mLiteClinical-IrishCorePII-135M-v2-rc2

The purpose of this RC is specific: keep the v2-rc1 weak-context PPSN recovery and improve the QA regressions reported afterwards for:

• passport numbers like PA1234567, NN5123456, and some Irish Gaelic passport phrasing
• Irish sort codes like 90-00-17, 90 01 18, and 900118
• broader Irish-core stability relative to the public v1 release

This repo now also includes a bundled dynamic int8 ONNX export for CPU inference in onnx/model_quantized.onnx.

Included Variants

Variant	Artifact	Backend	Intended Use
Full checkpoint	repo root	transformers	highest-fidelity evaluation and deployment
Quantized checkpoint	onnx/model_quantized.onnx	ONNX Runtime dynamic int8	CPU-oriented deployment with a smaller/faster artifact

Coverage

• PPSN
• account_number
• bank_routing_number
• credit_debit_card
• PASSPORT_NUMBER
• postcode
• phone_number
• email
• first_name
• last_name
• swift_bic

Recommended Inference

Full checkpoint:

python3 inference_mask.py \
  --model temsa/OpenMed-mLiteClinical-IrishCorePII-135M-v2-rc2 \
  --ppsn-min-score 0.5 \
  --other-min-score 0.35 \
  --text "My sort code is 90-00-17 for AIB." \
  --json

Fast CPU path with the bundled ONNX q8 artifact:

python3 inference_mask_onnx.py \
  --model temsa/OpenMed-mLiteClinical-IrishCorePII-135M-v2-rc2 \
  --ppsn-min-score 0.5 \
  --other-min-score 0.35 \
  --text "Please provide your passport: NN5123456." \
  --json

Quantized Artifact

The bundled quantized artifact is:

• onnx/model_quantized.onnx

It was benchmarked against the full v2-rc2 checkpoint and the public baselines at the same release thresholds.

Short reading:

• exact QA: ONNX q8 is below the full checkpoint on passport boundary cases, but it keeps the routing and phone gains
• English/Irish core suite: ONNX q8 is slightly higher overall than the full checkpoint on this suite
• multilingual PPSN suite: ONNX q8 is below the full checkpoint and far below the public v1 PPSN-focused release
• CPU throughput: ONNX q8 is much faster on the Irish core and edge suites, but not on every workload

Comparison To Public v1, v2-rc1, And ONNX q8

Exact QA suites:

Model	Numeric v2	Passport	Routing	Phone	Gap	Passport	Routing	Phone
temsa/OpenMed-mLiteClinical-IrishCorePII-135M-v1	0.3000	0.5000	0.3333	0.0000	0.2667	0.3333	0.4000	0.0000
temsa/OpenMed-mLiteClinical-IrishCorePII-135M-v2-rc1	0.2105	0.0000	0.0000	0.5000	0.1333	0.0000	0.0000	0.3333
temsa/OpenMed-mLiteClinical-IrishCorePII-135M-v2-rc2	0.8966	0.9091	1.0000	0.7500	0.8696	0.8889	1.0000	0.6667
temsa/OpenMed-mLiteClinical-IrishCorePII-135M-v2-rc2 ONNX q8	0.8387	0.7692	1.0000	0.7500	0.8333	0.8000	1.0000	0.6667

Broader CPU benchmarks:

Model	User PPSN	Core	Edge	Multilingual PPSN	Core PPSN	Edge PPSN
OpenMed/OpenMed-PII-mLiteClinical-Base-135M-v1	0.0000	0.5409	0.0513	0.0000	0.0000	0.0000
temsa/OpenMed-mLiteClinical-IrishCorePII-135M-v1	0.5000	0.9530	0.5714	0.9940	0.8000	0.5000
temsa/OpenMed-mLiteClinical-IrishCorePII-135M-v2-rc1	1.0000	0.9487	0.8205	0.7568	0.8571	0.8571
temsa/OpenMed-mLiteClinical-IrishCorePII-135M-v2-rc2	1.0000	0.9554	0.9500	0.8038	0.8571	0.8571
temsa/OpenMed-mLiteClinical-IrishCorePII-135M-v2-rc2 ONNX q8	1.0000	0.9615	0.9500	0.7887	0.8571	0.8571

CPU throughput:

Model	Core ex/s	Edge ex/s	Multilingual PPSN ex/s
temsa/OpenMed-mLiteClinical-IrishCorePII-135M-v2-rc2	27.4796	30.1890	131.0956
temsa/OpenMed-mLiteClinical-IrishCorePII-135M-v2-rc2 ONNX q8	119.0614	69.9669	86.9493

Practical Reading Of The ONNX q8 Results

• The ONNX q8 artifact keeps the RC's user PPSN regression score at 1.0000 and the edge-suite overall score at 0.9500.
• On the exact QA suites, ONNX q8 is still strong on bank routing and phone, but the full checkpoint is better on passport boundary cases.
• On the English/Irish core suite used for this release, ONNX q8 is slightly better overall than the full checkpoint at the same thresholds.
• The main quality cost of ONNX q8 in this release line is multilingual PPSN precision: 0.7887 for ONNX q8 vs 0.8038 for the full checkpoint, and both are below the public v1 PPSN-focused release (0.9940).

Known Limits

This is still a raw-model-only release candidate. QA should still test these carefully:

• standalone compact Irish mobile numbers such as 0851234567
• compact Irish mobiles in short contexts such as Call me on 0851234567 tomorrow.
• passport values written as prefix + space + digits, such as Passport PA 1234567 was used to board the flight.

Included Files

• full transformers checkpoint in the repo root
• dynamic int8 ONNX artifact in onnx/model_quantized.onnx
• inference_mask.py
• inference_mask_onnx.py
• qa_config.json
• training_sources.json
• benchmark summaries in eval/

License And Attribution

• release license: Apache-2.0
• base model: OpenMed/OpenMed-PII-mLiteClinical-Base-135M-v1
• upstream attributed data: joelniklaus/mapa, gretelai/synthetic_pii_finance_multilingual
• synthetic Irish training data created in this workspace

See NOTICE for attribution details.

Portfolio Comparison

Updated: 2026-03-14.

Use this section for the fastest public comparison across the temsa PII masking portfolio.

• The first core table only includes public checkpoints that ship both comparable q8 accuracy and q8 CPU throughput.
• The first PPSN table only includes public artifacts that ship comparable PPSN accuracy and CPU throughput.
• Missing cells in the archive tables mean the older release did not ship that metric in its public bundle.
• DiffMask rows use the reconciled clean_single_pass harness that matches the deployed runtime.
• GlobalPointer rows use the public raw-only span-matrix release bundle and its packaged q8 ONNX artifact.
• The same content is shipped as PORTFOLIO_COMPARISON.md inside each public model repo.

Irish Core PII: Comparable Public Checkpoints

Repo	Stack	Full Core F1	Q8 Core F1	Q8 Multilingual PPSN F1	Q8 Core ex/s
temsa/IrishCore-GlobalPointer-135M-v1-rc1	GlobalPointer raw-only span-matrix	0.9934	0.9934	0.9371	36.6
temsa/OpenMed-mLiteClinical-IrishCorePII-135M-v2-rc8	Raw-only token-span	0.9737	0.9737	0.9176	46.1
temsa/OpenMed-mLiteClinical-IrishCorePII-135M-v2-rc7	Hybrid classifier + generated scanner spec	1.0000	0.9934	1.0000	30.0
temsa/OpenMed-mLiteClinical-IrishCorePII-135M-v2-rc6	Hybrid classifier + repair decoders	1.0000	0.9934	1.0000	29.5
temsa/OpenMed-mLiteClinical-IrishCorePII-135M-v2-rc5	Hybrid classifier + repair decoders	0.9737	0.9669	0.9333	34.4
temsa/OpenMed-mLiteClinical-IrishCorePII-135M-v2-rc4	Hybrid classifier + repair decoders	0.9870	0.9740	0.9600	114.2
temsa/OpenMed-mLiteClinical-IrishCorePII-135M-v2-rc3	Hybrid classifier + repair decoders	0.9806	0.9677	0.9333	44.9
temsa/OpenMed-mLiteClinical-IrishCorePII-135M-v2-rc2	Hybrid classifier + repair decoders	0.9554	0.9615	0.7887	119.1
temsa/OpenMed-mLiteClinical-IrishCorePII-135M-v1	Hybrid classifier baseline	0.9530	0.9333	0.9882	103.3
temsa/IrishCore-DiffMask-135M-v1-rc6	DiffMask token-span, scanner-free	0.9801	0.9733	0.9274	130.3
temsa/IrishCore-DiffMask-135M-v1-rc5	DiffMask token-span, scanner-free	0.9733	0.9733	0.9379	249.2
temsa/IrishCore-DiffMask-135M-v1-rc4	DiffMask token-span, scanner-free	0.9733	0.9733	0.9371	29.5
temsa/IrishCore-DiffMask-135M-v1-rc3	DiffMask token-span, scanner-free	0.9664	0.9664	0.9591	30.0
temsa/IrishCore-DiffMask-135M-v1-rc2	DiffMask token-span, scanner-free	0.9664	0.9664	0.9212	247.1
temsa/IrishCore-DiffMask-135M-v1-rc1	DiffMask token-span, scanner-free	0.9801	0.9934	0.9412	251.2

Irish Core PII: Other Public Checkpoints

Repo	Stack	Full Core F1	Q8 Core F1	Q8 Multilingual PPSN F1	Notes
temsa/OpenMed-mLiteClinical-IrishCorePII-135M-v2-rc1	Hybrid classifier prototype	0.9487	—	—	Predates the public q8 artifact.

Finance-boundary q8 F1 is 1.0000 for OpenMed-mLiteClinical-IrishCorePII-135M-v2-rc6, OpenMed-mLiteClinical-IrishCorePII-135M-v2-rc7, OpenMed-mLiteClinical-IrishCorePII-135M-v2-rc8, and all public IrishCore-DiffMask releases from rc1 to rc6. OpenMed-mLiteClinical-IrishCorePII-135M-v2-rc5 ships 0.8750 on that public q8 suite.

PPSN-Only: Comparable Public Artifacts

Repo	Artifact	Irish Large F1	Multilingual PPSN F1	User Raw F1	QA v8 F1	CPU ex/s
temsa/OpenMed-mLiteClinical-IrishPPSN-135M-v1	fp32 canonical checkpoint	0.8979	0.9704	0.8000	0.7385	57.4
temsa/OpenMed-mLiteClinical-IrishPPSN-135M-v1-fp16	fp16 CPU/GPU artifact	—	0.9704	0.8000	0.7385	45.8
temsa/OpenMed-mLiteClinical-IrishPPSN-135M-v1-q8	dynamic int8 CPU artifact	—	0.9040	—	—	132.1

PPSN-Only: Historical Public Checkpoints

Repo	Main Published Metrics	Notes
temsa/OpenMed-PPSN-mLiteClinical-v1	same as canonical fp32 repo: multilingual 0.9704, user raw 0.8000	Legacy alias; prefer temsa/OpenMed-mLiteClinical-IrishPPSN-135M-v1.
temsa/OpenMed-PPSN-v6-raw-rc2	irish_reg_v5 0.8750; user_raw 0.8000; qa_v8 0.7385	Raw PPSN-only research checkpoint; no packaged multilingual CPU benchmark row.
temsa/OpenMed-PPSN-v5_1	irish_large_v2 raw 0.9285; qa_v6 hybrid strict 1.0000	Hybrid PPSN-only checkpoint; predates the canonical multilingual suite packaging.
temsa/OpenMed-PPSN-v5	irish_reg_v5 raw 0.8235; irish_reg_v5 hybrid strict 1.0000	Hybrid PPSN-only checkpoint; predates the canonical multilingual suite packaging.
temsa/OpenMed-PPSN-v4	synthetic non-PPSN drift check only	Predates the current PPSN eval suite; no packaged apples-to-apples multilingual CPU row.

If you need the strongest current raw-only Irish core model, start with IrishCore-GlobalPointer-135M-v1-rc1. If you need the fastest CPU-first raw-only line, compare it against IrishCore-DiffMask-135M-v1-rc6. If you need a PPSN-only artifact, compare the canonical fp32, fp16, and q8 variants of OpenMed-mLiteClinical-IrishPPSN-135M-v1 directly in the table above.