Langboat/Mengzi3 resource
None observed · 2026-08-28
Health v2 · maintenance only
25/100
- Activity 0
- Release rhythm 35
- Longevity 63
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: 887
- days_rel: n/a
- days_push: 693
- n_releases_24m: 0
Adoption not part of the score
1369 stars · 16 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Mengzi3 is a series of open-source Chinese-focused large language models (8B and 13B parameters) released by Langboat in Base and Chat variants. The repository serves as the hub for model weights, links to Hugging Face/ModelScope downloads, and usage documentation.
Use cases
- download a chinese open-source llm
- run a chinese chat model locally
- fine-tune a chinese base model
- compare mengzi3 8b vs 13b
- self-host a chinese language assistant
- use a chinese llm for rag
When to choose
- you need an open-weights LLM with strong Chinese language capability
- you want base and chat variants for fine-tuning or direct use
- you prefer Apache-2.0 licensed models
When to avoid
- you need a primarily English-optimized model
- you lack GPU resources for 8B/13B inference
- you want a hosted API only without self-hosting
Facets
learning-resource · maturity active
llm-inference llm-training chatbot large-language-models artificial-intelligence python cross-platform chinese-llm open-weights model-weights langboat huggingface natural-language-processing gpu
1 source
- readme: https://github.com/Langboat/Mengzi3 · fetched 2026-08-28 · 00e072d97808
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| Langboat/Mengzi3 | main | 25 |
For agents
markdown · JSON · MCP: product_card(name="Langboat/Mengzi3")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem