--- title: "huozi vs LlamaFactory" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/hit-scir-huozi-vs-hiyouga-llamafactory" tools: ["hit-scir-huozi", "hiyouga-llamafactory"] --- # huozi vs LlamaFactory *GraphCanon updated Aug 24, 2026* ## Verdict Pick huozi if huozi is a Python-based large model framework with Apache-2.0 license for fine-tuning and NLP applications; pick LlamaFactory if llamaFactory is a sophisticated tool for fine-tuning numerous large language models and visual language models efficiently using various methods such as LoRA, QLoRA, RLHF, and quantization. [huozi](https://github.com/HIT-SCIR/huozi) reports 393 GitHub stars, 26 forks, and 0 open issues, last pushed Sep 12, 2024. [LlamaFactory](https://llamafactory.readthedocs.io) has 74k stars, 9.1k forks, and 1.1k open issues, last pushed Aug 13, 2026. Figures are from public GitHub metadata via [huozi's repository](https://github.com/HIT-SCIR/huozi) and [LlamaFactory's repository](https://github.com/hiyouga/LlamaFactory). | | [huozi](/tools/hit-scir-huozi.md) | [LlamaFactory](/tools/hiyouga-llamafactory.md) | | --- | --- | --- | | Tagline | General-purpose large model for fine-tuning and applications | Unified Efficient Fine-Tuning of 100+ LLMs & VLMs | | Stars | 393 | 74,132 | | Forks | 26 | 9,071 | | Open issues | 0 | 1,113 | | Language | Python | Python | | Adopt for | Huozi is a Python-based large model framework with Apache-2.0 license for fine-tuning and NLP applications. | LlamaFactory is a sophisticated tool for fine-tuning numerous large language models and visual language models efficiently using various methods such as LoRA, QLoRA, RLHF, and quantization. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | LLM Frameworks, Model Training | LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [huozi](/tools/hit-scir-huozi.md) | [LlamaFactory](/tools/hiyouga-llamafactory.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 711d | 2d | | Open issues (now) | 0 | 1.1k | | Stars delta | -2 (30d) | +803 (30d) | | Open issues delta | 0 (30d) | +39 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/hit-scir-huozi/trust.md) | [trust report](/tools/hiyouga-llamafactory/trust.md) | ## Shared compatibility - **Python**: [huozi](/tools/hit-scir-huozi.md) - Python runtime; [LlamaFactory](/tools/hiyouga-llamafactory.md) - Python runtime ## Decision facts: huozi - **Adopt for:** Huozi is a Python-based large model framework with Apache-2.0 license for fine-tuning and NLP applications. ## Decision facts: LlamaFactory - **Adopt for:** LlamaFactory is a sophisticated tool for fine-tuning numerous large language models and visual language models efficiently using various methods such as LoRA, QLoRA, RLHF, and quantization. ## Choose when ### Choose huozi if… - Tags unique to huozi: llm, nlp. - When working on projects that require fast integration of pre-trained language models through its streamlined fine-tuning capabilities. - Leaner open-issue backlog (0). ### Choose LlamaFactory if… - Tags unique to LlamaFactory: agent, ai, deepseek, gemma. - When you need to fine-tune over 100 different LLMs or VLMs with efficient methods like LoRA or QLoRA. - More GitHub stars (74k vs 393) - visibility, not fit. ## When NOT to use huozi - 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. ## When NOT to use LlamaFactory - When you are looking to fine-tune less popular or niche models that are not supported within the 100+ models covered by LlamaFactory. - If your project specifically requires custom fine-tuning methods not available in this repository, such as certain versions of PEFT (Parameter Efficient Fine-Tuning) techniques excluding LoRA and QLoa ## Common questions ### What is the difference between huozi and LlamaFactory? huozi: General-purpose large model for fine-tuning and applications. LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. See the comparison table for live GitHub stats and shared categories. ### When should I choose huozi over LlamaFactory? Choose huozi over LlamaFactory when Tags unique to huozi: llm, nlp; When working on projects that require fast integration of pre-trained language models through its streamlined fine-tuning capabilities; Leaner open-issue backlog (0). ### When should I choose LlamaFactory over huozi? Choose LlamaFactory over huozi when Tags unique to LlamaFactory: agent, ai, deepseek, gemma; When you need to fine-tune over 100 different LLMs or VLMs with efficient methods like LoRA or QLoRA; More GitHub stars (74k vs 393) - visibility, not fit. ### When should I avoid huozi? 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. ### When should I avoid LlamaFactory? When you are looking to fine-tune less popular or niche models that are not supported within the 100+ models covered by LlamaFactory. If your project specifically requires custom fine-tuning methods not available in this repository, such as certain versions of PEFT (Parameter Efficient Fine-Tuning) techniques excluding LoRA and QLoa ### Is huozi or LlamaFactory more popular on GitHub? LlamaFactory has more GitHub stars (74,132 vs 393). Stars measure visibility, not whether either tool fits your constraints. ### Are huozi and LlamaFactory open source? Yes - both are open-source projects on GitHub (huozi: Apache-2.0, LlamaFactory: Apache-2.0). ### Where can I find alternatives to huozi or LlamaFactory? GraphCanon lists graph-backed alternatives at [huozi alternatives](/tools/hit-scir-huozi/alternatives) and [LlamaFactory alternatives](/tools/hiyouga-llamafactory/alternatives) ([huozi markdown twin](/tools/hit-scir-huozi/alternatives.md), [LlamaFactory markdown twin](/tools/hiyouga-llamafactory/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/hit-scir-huozi-vs-hiyouga-llamafactory.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, huozi or LlamaFactory? huozi: Dormant. LlamaFactory: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for huozi and LlamaFactory? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [huozi trust report](/tools/hit-scir-huozi/trust); [LlamaFactory trust report](/tools/hiyouga-llamafactory/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=hit-scir-huozi`](/api/graphcanon/graph?tool=hit-scir-huozi) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_