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OpenMed-mLiteClinical-IrishCorePII-135M-v1

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eircode
finance
passport
phone-number
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---
language:
- en
- ga
license: apache-2.0
library_name: transformers
pipeline_tag: token-classification
tags:
- pii
- token-classification
- de-identification
- ireland
- ppsn
- eircode
- finance
- passport
- phone-number
- multilingual
base_model:
- OpenMed/OpenMed-PII-mLiteClinical-Base-135M-v1
datasets:
- temsa/OpenMed-Irish-PPSN-Eircode-Spec-v1
- temsa/OpenMed-Irish-CorePII-TrainMix-v1
- joelniklaus/mapa
- gretelai/synthetic_pii_finance_multilingual
model-index:
- name: temsa/OpenMed-mLiteClinical-IrishCorePII-135M-v1
 results:
 - task:
 type: token-classification
 name: Irish core PII detection
 dataset:
 type: custom
 name: irish_core_pii_v1
 metrics:
 - type: f1
 name: PPSN F1
 value: 0.8000
 - type: f1
 name: phone_number F1
 value: 0.8571
 - type: f1
 name: postcode F1
 value: 1.0000
 - task:
 type: token-classification
 name: Multilingual PPSN detection
 dataset:
 type: custom
 name: multilingual_ppsn_v1_all
 metrics:
 - type: f1
 name: PPSN F1
 value: 0.9940
---
# temsa/OpenMed-mLiteClinical-IrishCorePII-135M-v1
Full `transformers` checkpoint derived from `OpenMed/OpenMed-PII-mLiteClinical-Base-135M-v1` and tuned for Irish core PII:
- `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 + Irish Gaelic (`ga`) handling for Irish administrative, citizen-support, and HSE-style text.
## Included Artifacts
- Full `transformers` model files in the repo root
- Dynamic int8 ONNX export in `onnx/model_quantized.onnx`
- `inference_mask.py` for the full model
- `inference_mask_onnx.py` for the ONNX int8 artifact
- clean benchmark summaries in `eval/`
## Recommended Inference
Highest accuracy:
```bash
python3 inference_mask.py \
 --text "My PPSN is 1234567TW and call me on 087 123 4567." \
 --json
```
Fast CPU path:
```bash
python3 inference_mask_onnx.py \
 --text "My PPSN is 1234567TW and call me on 087 123 4567." \
 --json
```
Dedicated Eircode example:
```bash
python3 inference_mask.py \
 --text "My Eircode is D02 X285." \
 --json
```
## Benchmarks
Reference comparison on the manual Irish core suite and PPSN regression suites:
| Label | Base OpenMed | Previous Public Model | This Release | ONNX Q8 |
|---|---:|---:|---:|---:|
| `PPSN` | 0.0000 | 0.0800 | 0.8000 | 0.7273 |
| `account_number` | 0.3333 | 0.3333 | 1.0000 | 1.0000 |
| `bank_routing_number` | 0.0000 | 0.0000 | 1.0000 | 1.0000 |
| `credit_debit_card` | 0.1538 | 0.1818 | 1.0000 | 0.3333 |
| `PASSPORT_NUMBER` | 0.0000 | 0.0000 | 1.0000 | 1.0000 |
| `postcode` | 0.0000 | 0.0000 | 1.0000 | 1.0000 |
| `phone_number` | 0.0000 | 0.0000 | 0.8571 | 0.8571 |
| `email` | 0.7059 | 1.0000 | 1.0000 | 1.0000 |
| `first_name` | 0.8947 | 0.8947 | 1.0000 | 1.0000 |
| `last_name` | 0.8889 | 0.8889 | 1.0000 | 1.0000 |
| `swift_bic` | 0.0000 | 0.0000 | 1.0000 | 1.0000 |
Edge and multilingual PPSN checks:
| Suite | Base OpenMed | Previous Public Model | This Release | ONNX Q8 |
|---|---:|---:|---:|---:|
| `edge_ppsn` | 0.0000 | 0.4211 | 0.5000 | 0.4000 |
| `edge_phone_number` | 0.1429 | 0.1429 | 0.6316 | 0.5000 |
| `multilingual_ppsn` | 0.0000 | 0.9704 | 0.9940 | 0.9882 |
Multilingual PPSN throughput on CPU (`eval/multilingual_ppsn_v1_all.jsonl`):
- Base OpenMed: `42.30` examples/s
- Previous public PPSN model: `42.63` examples/s
- This release: `41.18` examples/s
- ONNX Q8: `81.99` examples/s
## Practical Reading Of The Benchmarks
- This release is materially better than the previous public PPSN-only model on Irish phones, Eircodes, account details, passport numbers, and names.
- The bundled ONNX int8 export is useful for CPU speed, but it is not accuracy-identical to the full checkpoint.
- The largest ONNX drops are on `credit_debit_card` and some PPSN edge cases. Use the full model when those matter.
## License And Attribution
- Model weights in this repo are distributed under Apache-2.0.
- Base model: `OpenMed/OpenMed-PII-mLiteClinical-Base-135M-v1`
- Training data included synthetic Irish data plus attributed upstream data from:
 - `joelniklaus/mapa` (`cc-by-4.0`)
 - `gretelai/synthetic_pii_finance_multilingual` (`apache-2.0`)
- See `NOTICE` for attribution details.
<!-- 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.
<!-- portfolio-comparison:end -->