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IrishCore-GlobalPointer-135M-v1-rc2

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---
language:
- en
- ga
license: apache-2.0
library_name: transformers
pipeline_tag: token-classification
tags:
- pii
- de-identification
- token-classification
- ireland
- irish
- gaelic
- global-pointer
- span-extraction
- ppsn
- eircode
- onnx
- int8
- dynamic-quantization
- cpu
base_model:
- OpenMed/OpenMed-PII-mLiteClinical-Base-135M-v1
datasets:
- temsa/OpenMed-Irish-CorePII-TrainMix-v1
- temsa/OpenMed-Irish-PPSN-Eircode-Spec-v1
- joelniklaus/mapa
- gretelai/synthetic_pii_finance_multilingual
model-index:
- name: IrishCore-GlobalPointer-135M-v1-rc2
 results:
 - task:
 type: token-classification
 name: Irish core PII masking
 dataset:
 type: custom
 name: irish_core_pii_v1
 metrics:
 - type: f1
 name: Overall F1
 value: 0.9934
 - task:
 type: token-classification
 name: Fresh holdout masking
 dataset:
 type: custom
 name: diffmask_fresh_holdout_v1
 metrics:
 - type: f1
 name: Overall F1
 value: 0.9841
 - task:
 type: token-classification
 name: Hardening exact suite
 dataset:
 type: custom
 name: irish_dllm_hardening_exact_v1
 metrics:
 - type: f1
 name: Overall F1
 value: 1.0000
---
# IrishCore-GlobalPointer-135M-v1-rc2
`IrishCore-GlobalPointer-135M-v1-rc2` is a raw-only Irish PII masking model derived from `OpenMed/OpenMed-PII-mLiteClinical-Base-135M-v1`.
It targets explicit masking with placeholders such as `[PII:PPSN]`, `[PII:EMAIL]`, and `[PII:POSTCODE]` for:
- `PPSN`
- `ACCOUNT_NUMBER`
- `BANK_ROUTING_NUMBER`
- `CREDIT_DEBIT_CARD`
- `PASSPORT_NUMBER`
- `POSTCODE`
- `PHONE_NUMBER`
- `EMAIL`
- `FIRST_NAME`
- `LAST_NAME`
- `SWIFT_BIC`
The main target is English plus Irish Gaelic text in citizen-support, public-sector, and HSE-style flows. The repo ships both the full `transformers` checkpoint and a dynamic q8 ONNX artifact for CPU deployment.
## What This Model Is
This release is a compact span-matrix extractor built on top of the OpenMed mLiteClinical encoder.
Short version:
- **Base OpenMed**: plain BIO token classification
- **DiffMask**: token-span extraction with per-token presence plus boundary heads
- **GlobalPointer**: direct typed span scoring over the token grid
This release is fully raw-only:
- no regex scanner layer
- no checksum validator layer
- no post-hoc repair decoder
The published behavior is fully defined by the weights plus the bundled score-only decoder in `common.py`.
## Architecture
- Encoder: DistilBERT-size encoder from `OpenMed/OpenMed-PII-mLiteClinical-Base-135M-v1`
- Span head: GlobalPointer-style typed span matrix
- Positional encoding inside the span head: RoPE
- Training objective: positive-weighted BCE with hard-negative mining over valid upper-triangular spans
- Runtime: one forward pass plus score-only span decoding
Unlike the DiffMask line, this release does not use diffusion-style training. It directly predicts whether each `(start_token, end_token)` pair is an entity span for each released label.
## Why This Line Exists
The main reason for this architecture change was to improve the cases where earlier raw-only lines were fragile:
- mixed messages containing 2-3 PII types together
- Eircode and IBAN/card boundaries in realistic support text
- PPSN and phone/entity overlap cases
- broader generalization on unseen nearby phrasing
The tradeoff is straightforward:
- accuracy is materially better on the hard Irish/UAT suites
- CPU q8 speed is slower than the DiffMask q8 line
## Included Artifacts
- full `transformers` checkpoint in the repo root
- dynamic q8 ONNX artifact in `onnx/model_quantized.onnx`
- `inference_mask.py`
- `inference_mask_onnx.py`
- benchmark JSON and summaries in `eval/`
- release provenance in `training_sources.json`
## Benchmark Summary
### Gov Chatbot Red-Team
| Suite | Full F1 | Q8 F1 | Q8 Exact F1 | Q8 Failures |
|---|---:|---:|---:|---:|
| Gov chatbot red-team | 1.0000 | 1.0000 | 1.0000 | 0.0000 |
| Gov chatbot gap holdout | 1.0000 | 1.0000 | 1.0000 | 0.0000 |
### This Release
| Suite | Full F1 | Q8 F1 | Q8 ex/s |
|---|---:|---:|---:|
| Irish core | 0.9934 | 0.9934 | 231.2222 |
| UAT exact | 1.0000 | 1.0000 | 118.6042 |
| Fresh holdout | 0.9841 | 0.9841 | 217.1171 |
| Hardening exact | 1.0000 | 1.0000 | 230.3011 |
| Edge | 1.0000 | 1.0000 | 213.9085 |
| Multilingual PPSN overall | 0.9326 | 0.9326 | 170.3796 |
| Multilingual PPSN label-only | 0.9940 | 0.9940 | — |
### Closest Public Comparisons
| Repo | Stack | Q8 Core F1 | Q8 Hardening F1 | Q8 Multilingual F1 | Q8 Core ex/s |
|---|---|---:|---:|---:|---:|
| `temsa/IrishCore-GlobalPointer-135M-v1-rc2` | GlobalPointer raw-only span-matrix | 0.9934 | 1.0000 | 0.9326 | 231.2222 |
| `temsa/IrishCore-DiffMask-135M-v1-rc6` | DiffMask raw-only token-span | 0.9733 | 0.9756 | 0.9274 | 130.3415 |
| `temsa/OpenMed-mLiteClinical-IrishCorePII-135M-v2-rc8` | Raw-only token-span | 0.9737 | — | 0.9176 | 46.1420 |
Practical reading:
- This release is the strongest raw-only checkpoint in this repo family on the hard Irish/UAT/holdout suites.
- The q8 CPU artifact keeps the same accuracy on the main suites used for release.
- The multilingual benchmark's **overall** score is lower than the `PPSN` label-only score because that suite penalizes extra name detections as false positives. On the label that matters there, `PPSN`, this release is strong.
## Usage
### Full checkpoint
```bash
python3 inference_mask.py \
 --model temsa/IrishCore-GlobalPointer-135M-v1-rc2 \
 --text "My PPSN is 1234567T, my Eircode is D02 XY45, and my phone is 087 123 4567." \
 --json
```
### ONNX q8 CPU artifact
```bash
python3 inference_mask_onnx.py \
 --model temsa/IrishCore-GlobalPointer-135M-v1-rc2 \
 --text "My PPSN is 1234567T, my Eircode is D02 XY45, and my phone is 087 123 4567." \
 --json
```
Both scripts emit:
- extracted spans with offsets and labels
- masked text using `[PII:LABEL]`
## How It Differs From Other OpenMed-Derived Lines
Compared with the original OpenMed base model:
- this release does not use a BIO token head
- it scores typed spans directly
- it is tuned only for the released Irish core PII labels
Compared with DiffMask:
- no diffusion-style masked denoising during training
- no token-presence or boundary heads
- direct span-matrix scoring instead of reconstructing spans from token and boundary logits
Compared with the old hybrid releases:
- no external scanner or validator layer is required for the published behavior
- deployment stays simple: encoder + span head + deterministic replacement
## Limitations
- It is slower on CPU than the DiffMask q8 release.
- The multilingual benchmark is not a clean multilingual NER benchmark; it is a PPSN-focused suite where extra name detections count against the overall score.
- If you need the fastest CPU-first public line rather than the strongest raw-only accuracy, compare this release against `temsa/IrishCore-DiffMask-135M-v1-rc6`.
## References
- DistilBERT: https://arxiv.org/abs/1910.01108
- Global Pointer: Novel Efficient Span-based Approach for Named Entity Recognition: https://arxiv.org/abs/2208.03054
- RoFormer: Enhanced Transformer with Rotary Position Embedding: https://arxiv.org/abs/2104.09864
## License And Attribution
- Release license: Apache-2.0
- Base model: `OpenMed/OpenMed-PII-mLiteClinical-Base-135M-v1`
- Dataset attribution is listed in `NOTICE`
<!-- portfolio-comparison:start -->
## 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`](https://huggingface.co/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`](https://huggingface.co/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`](https://huggingface.co/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`](https://huggingface.co/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`](https://huggingface.co/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`](https://huggingface.co/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`](https://huggingface.co/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`](https://huggingface.co/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`](https://huggingface.co/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`](https://huggingface.co/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`](https://huggingface.co/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`](https://huggingface.co/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`](https://huggingface.co/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`](https://huggingface.co/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`](https://huggingface.co/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`](https://huggingface.co/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`](https://huggingface.co/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`](https://huggingface.co/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`](https://huggingface.co/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`](https://huggingface.co/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`](https://huggingface.co/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`](https://huggingface.co/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`](https://huggingface.co/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`](https://huggingface.co/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`](https://huggingface.co/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`](https://huggingface.co/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`](https://huggingface.co/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`](https://huggingface.co/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`](https://huggingface.co/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`](https://huggingface.co/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`](https://huggingface.co/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`](https://huggingface.co/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`](https://huggingface.co/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`](https://huggingface.co/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`](https://huggingface.co/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`](https://huggingface.co/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`](https://huggingface.co/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`](https://huggingface.co/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`](https://huggingface.co/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`](https://huggingface.co/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`](https://huggingface.co/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`](https://huggingface.co/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`](https://huggingface.co/temsa/OpenMed-mLiteClinical-IrishCorePII-135M-v1) | Hybrid classifier baseline | 0.9530 | 0.9333 | 0.9882 | 103.3 |
| [`temsa/IrishCore-DiffMask-135M-v1-rc6`](https://huggingface.co/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`](https://huggingface.co/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`](https://huggingface.co/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`](https://huggingface.co/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`](https://huggingface.co/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`](https://huggingface.co/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`](https://huggingface.co/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`](https://huggingface.co/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`](https://huggingface.co/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`](https://huggingface.co/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`](https://huggingface.co/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`](https://huggingface.co/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`](https://huggingface.co/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`](https://huggingface.co/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`](https://huggingface.co/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.
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