Cyronius/titler
summarization model by Cyronius
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Model card & documentation
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A tiny model that turns a prompt into a short title. This repository holds two models: Source code, apps and write-ups: https://github.com/Cyronius/model-experiments/tree/main/titler Try v2 in your browser (runs locally with WebAssembly, nothing is sent anywhere): https://cyronius.github.io/model-experiments/titler/ v2 is a standard Llama-architecture GGUF. Any llama.cpp-based runtime can load it. It is meant to be used through the titler engine, which adds the tokenizer handling, beam search and title cleanup that give the results below. Default setting (4 beams). With 1 beam, time is about half and titles are slightly worse. Judged pairwise against v1.5, the v2 title wins about 65% of the pairs that have a winner. The titler engine is in the GitHub repository. See EMBEDDING.md for every option. The quick versions: To use the GGUF file directly, you must write your own tokenization and cleanup. The vocabulary is in the GGUF. Without the titler engine, expect titles that differ…
Read the full model card ↗ · Preview checked 2026-11-01T14:29:36.749Z
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Model overview
Cyronius/titler is a summarization model repository published by Cyronius on Hugging Face. The source reports the transformers.js library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- summarization
- Library
- transformers.js
- Recent downloads (30 days)
- 440
- Cumulative likes
- 1
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 7,606,784
- Architecture
- T5ForConditionalGeneration
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-08-31T16:08:46.000Z
- Last modified
- 2026-10-20T22:30:31.000Z
Compatibility and lineage
Reported languages: en
Base-model lineage was not included.
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.
Use and evaluate
Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:54:36.205Z. 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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