IrishCore-GlobalPointer-ContextPII-135M-v1-rc20 is the current expanded-label raw-only PII masking release for Irish public-sector, HSE, and citizen-support flows.

It keeps the same DistilBERT-size GlobalPointer span extractor family and the same weights as temsa/IrishCore-GlobalPointer-ContextPII-135M-v1-rc19, but ships a stronger bundled decoder and a faster deployment path for contextual Irish/English address, location, name, date-of-birth, and age recovery.

Context labels served by this line:

STREET_ADDRESS
CITY
COUNTY
DATE_OF_BIRTH
AGE

Core labels retained:

PPSN
POSTCODE
PHONE_NUMBER
EMAIL
PASSPORT_NUMBER
ACCOUNT_NUMBER
BANK_ROUTING_NUMBER
SWIFT_BIC
CREDIT_DEBIT_CARD
FIRST_NAME
LAST_NAME

Positioning

rc20 is a decoder/runtime hardening release over rc19.

weights unchanged
ONNX graph unchanged
no external scanner or validator added
deployment path still single-pass span extraction plus deterministic [PII:LABEL] replacement

What changed in rc20:

Gaelic surname-particle last names such as Ní Bhroin and Nic ... are recovered cleanly instead of being split into stray FIRST_NAME fragments
self-cued surnames such as My name is Maeve O'Sullivan ... are recovered even when the model only emitted the first token initially
cue words such as Eirchód are no longer allowed to survive as false FIRST_NAME spans
q8 CPU throughput improves materially on the aligned suites because span decoding now iterates only over above-threshold candidates and skips expensive repair passes unless the text hints they are needed
fresh unseen contextual holdouts v12, v13, and v14 all score 1.0000 exact F1 on the q8 deployment path

If you only need the narrower Irish-core structured label set and want maximum CPU throughput, temsa/IrishCore-GlobalPointer-135M-v1-rc4 remains the faster option.

Benchmarks

ONNX q8

Suite	F1	Examples/s
Irish core	1.0000	181.8821
Irish extended	1.0000	78.7748
Gov contact policy v1	1.0000	150.6650
Gov chatbot red-team v2	0.9861	117.0016
Gov chatbot gap holdout v2	1.0000	118.2173
Context red-team v11 exact	1.0000	211.5424
Context holdout v12 exact	1.0000	77.6876
Context holdout v13 exact	1.0000	116.3190
Context holdout v14 exact	1.0000	126.5529
Multilingual PPSN overall	0.9333	155.2108
Multilingual PPSN label-only	1.0000	—

Comparison

Model	Irish core q8 F1	Gov chatbot gap holdout v2 q8 F1	Context holdout v14 exact q8 F1	Q8 core examples/s
ContextPII rc20 q8	1.0000	1.0000	1.0000	181.8821
ContextPII rc19 q8	1.0000	1.0000	—	73.0554
ContextPII rc18 q8	1.0000	1.0000	—	111.3135
GlobalPointer core rc4 q8	1.0000	1.0000	—	221.5743

Evaluation Notes

Additional q8 release checks shipped in this repo:

eval/q8_globalpointer_context_redteam_v11_exact.json: legacy exact-boundary contextual regression suite, now 1.0000
eval/q8_globalpointer_context_holdout_v12_exact.json: fresh unseen holdout for prefixed Irish/English address recovery, now 1.0000
eval/q8_globalpointer_context_holdout_v13_exact.json: fresh unseen holdout for house-name and city/county field recovery, now 1.0000
eval/q8_globalpointer_context_holdout_v14_exact.json: fresh unseen holdout for Gaelic surname-particle names, apostrophe surnames after self-cues, and mixed structured/contextual packets, now 1.0000
eval/q8_irish_gov_chatbot_gap_holdout_v2.json: legacy chatbot gap suite, now 1.0000

Known tradeoff:

eval/q8_irish_gov_chatbot_redteam_v2.json remains 0.9861 because this broader contextual release masks public-office street/city details in assistant text, while that older suite only labels postcode and phone there.

Usage

python3 inference_mask_onnx.py --model temsa/IrishCore-GlobalPointer-ContextPII-135M-v1-rc20 --text "My name is Maeve O'Sullivan, my PPSN is 1234567T, and my address is Árasán 4, Cedar Court, mBaile Átha Cliath, D08 XY12."

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-rc6`	4-layer GlobalPointer distilled fast student	1.0000	1.0000	0.9333	282.9
`temsa/IrishCore-GlobalPointer-ContextPII-4L-122M-v1-rc5`	4-layer GlobalPointer distilled fast student	1.0000	1.0000	0.9333	282.9
`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-rc29`	GlobalPointer raw-only + context labels	1.0000	1.0000	0.9333	232.7
`temsa/IrishCore-GlobalPointer-ContextPII-135M-v1-rc28`	GlobalPointer raw-only + context labels	1.0000	1.0000	0.9333	232.7
`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.