GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
47views this month
Decision brief
BELLE is an open-source Chinese dialogue large model project that focuses on making high-quality instruction-following language models accessible to everyone. It provides instruction training data, models, training code,
Good fit when
- Use BELLE when you need a Chinese-specific large language model that has been optimized for instruction-following tasks.
- Choose BELLE if you are working on projects that require high-quality Chinese dialogue capabilities, such as voice recognition and multi-modal applications.
Avoid when
- Avoid BELLE if your project requires a language model that is not focused on Chinese, as it is specifically optimized for the Chinese language.
- Do not use BELLE if you need a model that is trained on a diverse set of data beyond Chinese dialogue, as it primarily uses data generated by ChatGPT.
- Requirements:
- Min 8 GB RAM; Requires Docker; BELLE requires Docker for running the environment.; Ensure you have sufficient computational resources for training and inference.
Observed Sep 18, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Dormant (701d since push)
- As of Sep 18, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 18, 2026
- Security (OSV)
- No criticals
- As of Sep 18, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
git clone https://github.com/LianjiaTech/BELLESimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
BELLE aims to promote the development of the open-source community for Chinese dialogue large models, focusing on making high-quality instruction-following language models accessible to everyone. The project provides instruction training data, models, training code, and evaluates the impact of different training data and algorithms on model performance.
Capability facts
- Languages
- html
Source: github.language · Sep 18, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 18, 2026)
E项目会持续开放指令训练数据、相关模型、训练代码、应用场景等,也会持续评估不同训练数据、训练算法等对模型表现的影响。BELLE针对中文做了优化,模型调优仅使用由ChatGPT生产的数据(不包含任何其他数据)。Source link
Tags
README
<img src="assets/belle logo.png" style="vertical align: middle; width: 35px;" BELLE: Be Everyone's Large Language model Engine Read this in English. <div align="center" <a href="https://github.com/LianjiaTech/BELLE/stargazers" </a </div 本项目的目标是促进中文对话大模型开源社区的发展,愿景是成为能够帮到每一个人的LLM E...
For agents
This page has a .md twin and JSON over the API.