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Baichuan2

baichuan-inc/Baichuan2

A series of large language models developed by Baichuan Intelligent Technology

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

37views this month

4.1k stars294 forksLast push Nov 8, 2024 Python Apache-2.0

Decision brief

- When to use: Excellent for tasks requiring deep understanding in multiple languages, especially Chinese. Suitable for applications that demand high performance across a wide range of benchmarks and domains. - When not

Good fit when

  • - Requires robust language processing capabilities, particularly for Chinese, as Baichuan2 has demonstrated superior performance on comprehensive Chinese language assessments such as C-Eval and CMMLU.

Avoid when

  • - Needs real-time feedback or interactive deployment in low-resource environments where high computational requirements may be prohibitive, given its large model size and complexity.

Observed Jul 9, 2026 · Source: enrich:decision_facts

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Maintenance and security

Full trust report
Maintenance
Dormant (647d since push)
As of Aug 17, 2026
Provenance
Not a fork · Organization account
As of Aug 17, 2026
Security (OSV)
No criticals
As of Jul 11, 2026

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Backing

Company context for Baichuan. Display-only - separate from trust and ranking.

Company
Baichuan Intelligent Technology·GitHub org profile·Jul 11, 2026
Commercial model
Pure OSS·GitHub org profile (public repos)·Jul 11, 2026

Install

pip install Baichuan2
PyPI

How it fits your stack(2)

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Similar tools

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Evidence and technical details

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Overview

Baichuan 2 is a new generation of open-source large language models developed by Baichuan Intelligent Technology, trained on high-quality corpus with 2.6 trillion tokens.

Capability facts

Languages
python

Source: github.language · Aug 17, 2026

Categories

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README

<div align="center" <h1 Baichuan 2 </h1 </div <p align="center" 🤗 <a href="https://huggingface.co/baichuan inc/" target=" blank" Hugging Face</a • 🤖 <a href="https://modelscope.cn/organization/baichuan inc" target=" blank" ModelScope</a • 💬 <a href="https://github.com/baichuan...

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