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Baichuan-7B

baichuan-inc/Baichuan-7B

A large-scale 7B pretraining language model

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

43views this month

5.7k stars500 forksLast push Jul 18, 2024 Python Apache-2.0

Decision brief

Baichuan-7B is notable for its performance in Chinese benchmarks and supports both English and Chinese languages.

Good fit when

  • If the project requires strong Chinese language proficiency, as Baichuan-7B has been optimized through extensive training specifically targeting Chinese language tasks.
  • For applications requiring a large context window size of 4096 tokens, enabling extended dialogue or complex task handling.

Avoid when

  • If the application primarily deals with languages other than English and Chinese, as Baichuan-7B's training has been focused on these two languages.
  • When a model smaller than 7-billion parameters is sufficient for the use case, especially if reducing inference time or resource consumption is more critical.

Observed Jul 14, 2026 · Source: enrich:decision_facts

Verify the decision

Maintenance and security

Full trust report
Maintenance
Dormant (759d since push)
As of Aug 17, 2026
Provenance
Not a fork · Organization account
As of Aug 17, 2026
Security (OSV)
77 low (77 low)
As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

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 Baichuan-7B
PyPI

How it fits your stack(5)

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Relationship graph

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Similar tools

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

Baichuan-7B is a large-scale pretraining language model with 7 billion parameters developed by BaiChuan-Inc. It supports both Chinese and English, trained on around 1.2 trillion tokens, and has a context window size of 4096.

Capability facts

Languages
python

Source: github.language · Aug 17, 2026

Categories

Graph entities

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Aug 17, 2026)

python evaluate_zh.py --model_name_or_path 'your/model/path'
Source link
Works with ChatGPTChatGPT

Source: README excerpt (regex_v1, Aug 17, 2026)

| ChatGPT | 54.4 | 41.4 | 52.9 | 61.8 | 50.9 | 53.6
Source link

Tags

README

<div align="center" <h1 Baichuan 7B </h1 </div <p align="center" 🤗 <a href="https://huggingface.co/baichuan inc/Baichuan 7B" target=" blank" Hugging Face</a • 🤖 <a href="https://modelscope.cn/organization/baichuan inc" target=" blank" ModelScope</a • 💬 <a href="https://github....

For agents

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