Tele-AI/Telechat

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1853 stars · 100 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

TeleChat is a family of open-source bilingual (Chinese-English) large language models (1B, 7B, 12B) developed by China Telecom's AI team, released with Hugging Face-format weights, int8/int4 quantized versions, and a 1T-token Chinese training dataset. The repository provides inference, deployment (including vLLM), fine-tuning, and quantization tooling for the models.

Use cases

• run a chinese-english chat llm locally
• deploy a 7B or 12B language model with vllm
• fine-tune an open-source chinese llm
• quantize a large language model to int8 or int4
• download pretrained chinese llm weights for huggingface
• build a chatbot on an open chinese base model
• serve an llm on domestic chinese hardware

When to choose

• you need a strong open-weight Chinese-language chat model
• you want multiple model sizes (1B/7B/12B) with quantized variants
• you need vLLM-based serving or fine-tuning recipes for the model
• you want the accompanying large-scale Chinese training dataset

When to avoid

• you need a permissive license - no license is specified in the repo
• you need a frontier multilingual model rather than Chinese/English focus
• you want a managed API rather than self-hosted weights

Facets

library · maturity active

llm-inference llm-training machine-learning deep-learning large-language-models artificial-intelligence machine-learning python llm chinese-language-model model-weights quantization vllm huggingface chat-model decoder-only telechat natural-language-processing gpu linux docker

Member repositories

For agents

markdown · JSON · MCP: product_card(name="Tele-AI/Telechat")