ZhuiyiTechnology/pretrained-models resource
Open Language Pre-trained Model Zoo observed · 2026-09-03
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2424
- days_rel: n/a
- days_push: 1749
- n_releases_24m: 0
Adoption not part of the score
1003 stars · 134 forks observed · 2026-09-03
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A model zoo of open-source Chinese pre-trained language models (RoBERTa, SimBERT, WoBERT, T5 PEGASUS) released by Zhuiyi Technology, with small/tiny variants for efficient deployment. It includes evaluation scripts and benchmark results on Chinese NLP tasks.
Use cases
- download pretrained chinese language models
- find small bert models for fast inference
- sentence similarity model for chinese text
- pretrained model for chinese text classification
- lightweight roberta for production nlp
- chinese text generation model t5
When to choose
- you need compact Chinese BERT-family models for classification or retrieval
- you want SimBERT-style sentence embeddings for similar-question matching
- you need baseline models with published Chinese benchmark results
When to avoid
- you need multilingual or English-only models
- you require actively updated models or recent architectures
- you need models for languages other than Chinese
Facets
dataset · maturity maintenance
machine-learning nlp llm-training machine-learning large-language-models python pretrained-models chinese-nlp roberta simbert t5 model-zoo transformers natural-language-processing
1 source
- readme: https://github.com/ZhuiyiTechnology/pretrained-models · fetched 2026-09-03 · e1fb157a0d5f
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| ZhuiyiTechnology/pretrained-models | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="ZhuiyiTechnology/pretrained-models")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem