temsa/OpenMed-mLiteClinical-IrishCorePII-135M-v2-rc4

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

This repository should be evaluated against:

• current public candidate: temsa/OpenMed-mLiteClinical-IrishCorePII-135M-v2-rc3
• stable public release: temsa/OpenMed-mLiteClinical-IrishCorePII-135M-v1
• this repository: temsa/OpenMed-mLiteClinical-IrishCorePII-135M-v2-rc4

This RC improves the current public candidate on the main release-gating suites without reopening the PPSN false positives that were addressed after v2-rc3.

Included Variants

Variant	Artifact	Backend	Recommended Thresholds	Intended Use
Full checkpoint	repo root	transformers	ppsn=0.71, other=0.50	highest-fidelity evaluation and deployment
Quantized checkpoint	onnx/model_quantized.onnx	ONNX Runtime dynamic int8	ppsn=0.71, other=0.60	CPU-oriented deployment

Coverage

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

The main focus is English and Irish Gaelic handling for Irish administrative, citizen-support, and HSE-style text.

Recommended Inference

Full checkpoint:

uv run python inference_mask.py \
  --model temsa/OpenMed-mLiteClinical-IrishCorePII-135M-v2-rc4 \
  --ppsn-min-score 0.71 \
  --other-min-score 0.50 \
  --text "My PPSN is 1234567T and my sort code is 90-00-17." \
  --json

Fast CPU path with the bundled ONNX q8 artifact:

uv run python inference_mask_onnx.py \
  --model temsa/OpenMed-mLiteClinical-IrishCorePII-135M-v2-rc4 \
  --ppsn-min-score 0.71 \
  --other-min-score 0.60 \
  --text "Please provide your passport: NN5123456." \
  --json

If you prefer plain python3, install the dependencies from pyproject.toml first.

What Improved Versus temsa/OpenMed-mLiteClinical-IrishCorePII-135M-v2-rc3

Full checkpoint:

• core suite F1: 0.9806 -> 0.9870
• overlap suite F1: 0.9429 -> 1.0000
• strict remaining IoU=1.0 F1: 0.4444 -> 0.6000
• multilingual PPSN-only F1: 0.9333 -> 0.9545
• matches the current public candidate on edge, numeric, gap, and user PPSN regression F1

Bundled ONNX q8:

• core suite F1: 0.9677 -> 0.9804
• multilingual PPSN-only F1: 0.9333 -> 0.9600
• keeps the overlap and strict remaining gains from v2-rc3
• q8 remains weaker than the full checkpoint on the small edge suite: 0.9474 vs 1.0000

Benchmark Table

Variant	Core	Edge	Numeric	Gap	User PPSN	Overlap	Strict Remaining IoU=1.0	Multilingual PPSN
temsa/OpenMed-mLiteClinical-IrishCorePII-135M-v2-rc3 full	0.9806	1.0000	0.9333	0.9167	1.0000	0.9429	0.4444	0.9333
temsa/OpenMed-mLiteClinical-IrishCorePII-135M-v2-rc4 full	0.9870	1.0000	0.9333	0.9167	1.0000	1.0000	0.6000	0.9545
temsa/OpenMed-mLiteClinical-IrishCorePII-135M-v2-rc3 ONNX q8	0.9677	1.0000	0.9333	0.9167	1.0000	1.0000	0.6667	0.9333
temsa/OpenMed-mLiteClinical-IrishCorePII-135M-v2-rc4 ONNX q8	0.9804	0.9474	0.9333	0.9167	1.0000	1.0000	0.6667	0.9600

Quantized Artifact

The bundled quantized artifact is:

• onnx/model_quantized.onnx

For this release line, the promoted q8 recipe remains the standard ONNX Runtime dynamic int8 export with per-channel quantization over MatMul, Gemm, and Attention.

Two alternatives were reviewed and not promoted for this model family:

• QAT in this DistilBERT token-classification stack
• Mezzanine's recent Qwen-focused weight transforms

Known Limits

This is still a raw token-classification release candidate without hybrid rule logic. QA should still test these carefully:

• Passport PA 1234567 was used to board the flight.
• Usaideadh pas PA 1234567 chun dul ar bord an eitilt.
• Call me on 0851234567 tomorrow.

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 and replay data created in this workspace

See NOTICE for attribution details.

Portfolio Comparison

Updated: 2026-03-16.

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-ContextPII-4L-122M-v1-rc4	4-layer GlobalPointer distilled fast student	1.0000	1.0000	0.9333	299.0
temsa/IrishCore-GlobalPointer-ContextPII-4L-122M-v1-rc3	4-layer GlobalPointer distilled fast student	1.0000	1.0000	0.9333	317.9
temsa/IrishCore-GlobalPointer-ContextPII-4L-122M-v1-rc2	4-layer GlobalPointer distilled fast student	1.0000	1.0000	0.9333	292.5
temsa/IrishCore-GlobalPointer-ContextPII-4L-122M-v1-rc1	4-layer GlobalPointer distilled fast student	1.0000	1.0000	0.9333	337.3
temsa/IrishCore-GlobalPointer-ContextPII-135M-v1-rc27	GlobalPointer raw-only + context labels	1.0000	1.0000	0.9333	270.0
temsa/IrishCore-GlobalPointer-ContextPII-135M-v1-rc25	GlobalPointer raw-only + context labels	1.0000	1.0000	0.9333	212.1
temsa/IrishCore-GlobalPointer-ContextPII-135M-v1-rc24	GlobalPointer raw-only + context labels	1.0000	1.0000	0.9333	278.9
temsa/IrishCore-GlobalPointer-ContextPII-135M-v1-rc23	GlobalPointer raw-only + context labels	1.0000	1.0000	0.9333	237.6
temsa/IrishCore-GlobalPointer-ContextPII-135M-v1-rc22	GlobalPointer raw-only + context labels	1.0000	1.0000	0.9333	106.8
temsa/IrishCore-GlobalPointer-ContextPII-135M-v1-rc21	GlobalPointer raw-only + context labels	1.0000	1.0000	0.9333	150.8
temsa/IrishCore-GlobalPointer-ContextPII-135M-v1-rc20	GlobalPointer raw-only + context labels	1.0000	1.0000	0.9333	181.9
temsa/IrishCore-GlobalPointer-ContextPII-135M-v1-rc19	GlobalPointer raw-only + context labels	1.0000	1.0000	0.9333	73.1
temsa/IrishCore-GlobalPointer-ContextPII-135M-v1-rc18	GlobalPointer raw-only + context labels	1.0000	1.0000	0.9333	126.2
temsa/IrishCore-GlobalPointer-ContextPII-135M-v1-rc17	GlobalPointer raw-only + context labels	1.0000	1.0000	0.9333	125.5
temsa/IrishCore-GlobalPointer-ContextPII-135M-v1-rc16	GlobalPointer raw-only + context labels	1.0000	1.0000	0.9333	125.5
temsa/IrishCore-GlobalPointer-ContextPII-135M-v1-rc15	GlobalPointer raw-only + context labels	1.0000	1.0000	0.9333	125.5
temsa/IrishCore-GlobalPointer-ContextPII-135M-v1-rc14	GlobalPointer raw-only + context labels	1.0000	1.0000	0.9333	119.2
temsa/IrishCore-GlobalPointer-ContextPII-135M-v1-rc13	GlobalPointer raw-only + context labels	1.0000	1.0000	0.9333	126.1
temsa/IrishCore-GlobalPointer-ContextPII-135M-v1-rc12	GlobalPointer raw-only + context labels	1.0000	1.0000	0.9333	73.6
temsa/IrishCore-GlobalPointer-ContextPII-135M-v1-rc11	GlobalPointer raw-only + context labels	1.0000	1.0000	0.9333	94.1
temsa/IrishCore-GlobalPointer-ContextPII-135M-v1-rc10	GlobalPointer raw-only + context labels	1.0000	1.0000	0.9333	125.8
temsa/IrishCore-GlobalPointer-ContextPII-135M-v1-rc9	GlobalPointer raw-only + context labels	1.0000	1.0000	0.9333	119.8
temsa/IrishCore-GlobalPointer-ContextPII-135M-v1-rc8	GlobalPointer raw-only + context labels	1.0000	1.0000	0.9333	128.9
temsa/IrishCore-GlobalPointer-ContextPII-135M-v1-rc7	GlobalPointer raw-only + context labels	1.0000	1.0000	0.9333	89.0
temsa/IrishCore-GlobalPointer-ContextPII-135M-v1-rc6	GlobalPointer raw-only + context labels	1.0000	1.0000	0.9333	89.0
temsa/IrishCore-GlobalPointer-ContextPII-135M-v1-rc5	GlobalPointer raw-only + context labels	1.0000	1.0000	0.9333	84.5
temsa/IrishCore-GlobalPointer-ContextPII-135M-v1-rc4	GlobalPointer raw-only + context labels	0.9935	0.9935	0.9333	61.5
temsa/IrishCore-GlobalPointer-ContextPII-135M-v1-rc3	GlobalPointer raw-only + context labels	0.9935	0.9935	0.9333	61.5
temsa/IrishCore-GlobalPointer-ContextPII-135M-v1-rc2	GlobalPointer raw-only + context labels	0.9935	0.9935	0.9222	61.5
temsa/IrishCore-GlobalPointer-ContextPII-135M-v1-rc1	GlobalPointer raw-only + context labels	0.9935	0.9935	0.9222	61.5
temsa/IrishCore-GlobalPointer-135M-v1-rc4	GlobalPointer raw-only span-matrix	1.0000	1.0000	0.9333	221.6
temsa/IrishCore-GlobalPointer-135M-v1-rc3	GlobalPointer raw-only span-matrix	1.0000	1.0000	0.9213	204.9
temsa/IrishCore-GlobalPointer-135M-v1-rc2	GlobalPointer raw-only span-matrix	0.9934	0.9934	0.9326	231.2
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-rc4. 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.