--- 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 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.