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huozi

HIT-SCIR/huozi

General-purpose large model for fine-tuning and applications

GraphCanon updated 1d · GitHub synced 1d

393 stars26 forksLast push 1y Python Apache-2.0

Decision brief

Huozi is a Python-based large model framework with Apache-2.0 license for fine-tuning and NLP applications.

Good fit when

  • When working on projects that require fast integration of pre-trained language models through its streamlined fine-tuning capabilities.
  • For developers aiming to enhance specific natural language processing tasks where customization is key.

Avoid when

  • If your project requires proprietary licensing, as Huozi is under the Apache-2.0 license which may not meet all business models' requirements.
  • When needing a framework with comprehensive support for visual data or other non-textual machine learning applications.

Observed Jul 14, 2026 · Source: enrich:decision_facts

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Maintenance and security

Full trust report
Maintenance
Dormant (711d since push)
As of 1d
Provenance
Not a fork · Organization account
As of 1d
Security (OSV)
No lockfile
As of 1mo

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

Install

pip install huozi
PyPI

Similar 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

Huozi is designed to facilitate the development of large language models for natural language processing tasks through fine-tuning capabilities.

Capability facts

Languages
python

Source: github.language · Aug 24, 2026

Categories

Compatibility

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

Python runtimePython

Source: README excerpt (regex_v1, Aug 24, 2026)

```python
Source link

Tags

README

Quick Start

活字3.5采用ChatML格式的prompt模板,格式为:

<|beginofutterance|>系统
{system prompt}<|endofutterance|>
<|beginofutterance|>用户
{input}<|endofutterance|>
<|beginofutterance|>助手
{output}<|endofutterance|>

使用活字3.5进行推理的示例代码如下:

For agents

This page has a .md twin and JSON over the API.

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