GLM-5.3 is live. Run Z.ai's latest model on Friendli Model APIs. Try it today ➜
UNI-PIC
Available on FriendliAI
Run this model inference on single tenant GPU with unmatched speed and reliability at scale.
Model Details
Model Provider
UNI-PIC
Model Tree
Qwen/Qwen3-4B-Base
Input Modalities
Output Modalities
Supported Functionality
| Developed by | President Information Corp. (統一資訊, PIC) and Uni-President Information Philippines Corp. (UNI-PIPC) |
| Model type | Decoder-only causal language model (dense Transformer) |
| Base model | Qwen/Qwen3-4B-Base |
| Adaptation method | Continual pre-training (CPT) |
| Domain | Taiwan retail and e-commerce |
| Languages | Traditional Chinese (zh-TW, primary), Simplified Chinese (zh-CN), English (en) |
| Training framework | ms-swift |
| Training hardware | 4× NVIDIA H100 96 GB |
| License | Apache 2.0 |
Token counts are computed with the base model tokenizer. A 0.1% split of each dataset is held out for validation.
53.7% · 1.38B Taiwan Retail Wiki26.3% · 674.4M Replay Data20.0% · 512.9M Replay Composition (% of Replay Tokens) zh-TW Wikipedia40.0% en↔zh Translation Pairs30.0% en Wikipedia20.0% zh-CN Wikipedia10.0% Product Listings1.38Btokens7,300,108 samples · 53.7% Taiwan Retail Wiki674.4Mtokens2,762,847 samples · 26.3% Replay Data512.9Mtokens2,774,330 samples · 20.0% Total2.56Btokens12,837,285 samples · 100% Taiwan retail wiki (synthetic, NVIDIA NeMo Data Designer): brand and contributor wikis, plus name variants (aliases, foreign-language names, Simplified/Traditional script, Zhuyin and Pinyin spellings, typos). Replay: general-domain text mixed into CPT to mitigate catastrophic forgetting. Sources: wikimedia/wikipedia (zh-TW, zh-CN, en) and en↔zh translation pairs from wmt/wmt19. zh-TW = Chinese converted to Traditional Chinese with OpenCC (translation pairs: Chinese side converted to zh-TW).
The product listings are proprietary Taiwan retail data comprising title, brand, category, price, and description. The data was cleaned with NVIDIA NeMo Curator, which removed SEO filler text, emojis, contact details, hyperlinks, and policy terms, followed by exact and fuzzy deduplication.
Category distribution (15 categories, share of listings)
bibtex
@misc{retailtwqwen34bbase, title = {Retail-TW-Qwen3-4B-Base}, author = {President Information Corp. (PIC) and Uni-President Information Philippines Corp. (UNI-PIPC)}, year = {2026}, publisher = {Hugging Face}, url = {https://huggingface.co/UNI-PIC/Retail-TW-Qwen3-4B-Base}}@misc{retailtwqwen34bbase, title = {Retail-TW-Qwen3-4B-Base}, author = {President Information Corp. (PIC) and Uni-President Information Philippines Corp. (UNI-PIPC)}, year = {2026}, publisher = {Hugging Face}, url = {https://huggingface.co/UNI-PIC/Retail-TW-Qwen3-4B-Base}}