litert-community/GLiFormer-Large-NER-LiteRT

token-classification model by litert-community

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Run the entity-extraction path of knowledgator/gliformer-large-v1 (575.6M parameters, Apache-2.0) on a phone with Google LiteRT. The official weights were converted with LiteRT Torch; nothing in the math was approximated. The validated Android configuration is LiteRT 2.2.0 on a Samsung Galaxy S26 (SM-S942Q, SM8850, Android 16) with explicit GPU FP32 computation. On 70 English inputs the extracted spans match the official gliformer fp32 CPU implementation exactly (micro-F1 1.000 by label and character offsets) with every shipped file. Other Android GPU families and lower-memory phones have not been validated here. The image is a rendering of the actual output of gliformerlargeners128wfp16.tflite through LiteRT CompiledModel for the sentence in assets/herooutput.json (fictional names). The scores are the values the model returned; it is not a screenshot. One host API, three encoded-window sizes. The host runtime picks the smallest window that fits the text; you call one function and never chunk below the 512-token window.…

litert-community/GLiFormer-Large-NER-LiteRT on Hugging Face A short preview, not the full document.

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Inside the original model card — Document outline
  1. GLiFormer Large v1 (NER) for LiteRT — one call, three windows
  2. What you get
  3. Minimal usage
  4. Python — complete pipeline, desktop CPU
  5. Kotlin — Android GPU with explicit FP32 (s128 graph)
  6. Host contract
  7. Measured quality and performance
  8. Provenance, conversion and license

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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.

Model overview

litert-community/GLiFormer-Large-NER-LiteRT is a token-classification model repository published by litert-community on Hugging Face. The source reports the litert library.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task
token-classification
Library
litert
Recent downloads (30 days)
0
Cumulative likes
0
Hugging Face trending score
0
Reported safetensors parameters
Not reported
Architecture
Not reported
License
apache-2.0
Access
Not gated by Hugging Face
Created
2026-09-26T06:24:28.000Z
Last modified
2026-09-26T06:36:55.000Z

Compatibility and lineage

Reported languages: en

Reported base models: knowledgator/gliformer-large-v1

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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Model card and usage instructions

Model files and configuration

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Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-09-26T06:37:45.751Z. Daily imports are snapshots, not real-time monitoring.

Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.

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