--- title: "FastEdit vs LlamaFactory" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/hiyouga-fastedit-vs-hiyouga-llamafactory" tools: ["hiyouga-fastedit", "hiyouga-llamafactory"] --- # FastEdit vs LlamaFactory *GraphCanon updated Jul 11, 2026* ## Verdict Pick FastEdit when tags unique to FastEdit: bloom, chatbots, chatgpt, falcon; pick LlamaFactory when tags unique to LlamaFactory: agent, ai, deepseek, fine-tuning. [FastEdit](https://github.com/hiyouga/FastEdit) reports 1.4k GitHub stars, 103 forks, and 21 open issues, last pushed Aug 13, 2023. [LlamaFactory](https://llamafactory.readthedocs.io) has 73k stars, 8.9k forks, and 1.1k open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [FastEdit's repository](https://github.com/hiyouga/FastEdit) and [LlamaFactory's repository](https://github.com/hiyouga/LlamaFactory). | | [FastEdit](/tools/hiyouga-fastedit.md) | [LlamaFactory](/tools/hiyouga-llamafactory.md) | | --- | --- | --- | | Tagline | šŸ©¹Editing large language models within 10 secondsāš” | Unified Efficient Fine-Tuning of 100+ LLMs & VLMs | | Stars | 1,367 | 73,157 | | Forks | 103 | 8,937 | | Open issues | 21 | 1,067 | | Language | Python | Python | | 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. | | 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._ | | [FastEdit](/tools/hiyouga-fastedit.md) | [LlamaFactory](/tools/hiyouga-llamafactory.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 1063d | 0d | | Open issues (now) | 21 | 1.1k | | Security scan | 73 low (73 low) | No lockfile | | Full report | [trust report](/tools/hiyouga-fastedit/trust.md) | [trust report](/tools/hiyouga-llamafactory/trust.md) | ## 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 FastEdit ifā€¦ - Tags unique to FastEdit: bloom, chatbots, chatgpt, falcon. - Leaner open-issue backlog (21). ### Choose LlamaFactory ifā€¦ - Tags unique to LlamaFactory: agent, ai, deepseek, fine-tuning. - When you need to fine-tune over 100 different LLMs or VLMs with efficient methods like LoRA or QLoRA. - More GitHub stars (73k vs 1.4k) - visibility, not fit. ## When NOT to use FastEdit - Last GitHub push was 1064 days ago (dormant maintenance, Aug 13, 2023). Validate activity before betting a new project on FastEdit. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ## 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 FastEdit and LlamaFactory? FastEdit: šŸ©¹Editing large language models within 10 secondsāš”. LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. See the comparison table for live GitHub stats and shared categories. ### When should I choose FastEdit over LlamaFactory? Choose FastEdit over LlamaFactory when Tags unique to FastEdit: bloom, chatbots, chatgpt, falcon; Leaner open-issue backlog (21). ### When should I choose LlamaFactory over FastEdit? Choose LlamaFactory over FastEdit when Tags unique to LlamaFactory: agent, ai, deepseek, fine-tuning; When you need to fine-tune over 100 different LLMs or VLMs with efficient methods like LoRA or QLoRA; More GitHub stars (73k vs 1.4k) - visibility, not fit. ### When should I avoid FastEdit? Last GitHub push was 1064 days ago (dormant maintenance, Aug 13, 2023). Validate activity before betting a new project on FastEdit. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ### 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 FastEdit or LlamaFactory more popular on GitHub? LlamaFactory has more GitHub stars (73,157 vs 1,367). Stars measure visibility, not whether either tool fits your constraints. ### Are FastEdit and LlamaFactory open source? Yes - both are open-source projects on GitHub (FastEdit: Apache-2.0, LlamaFactory: Apache-2.0). ### Where can I find alternatives to FastEdit or LlamaFactory? GraphCanon lists graph-backed alternatives at [FastEdit alternatives](/tools/hiyouga-fastedit/alternatives) and [LlamaFactory alternatives](/tools/hiyouga-llamafactory/alternatives) ([FastEdit markdown twin](/tools/hiyouga-fastedit/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/hiyouga-fastedit-vs-hiyouga-llamafactory.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, FastEdit or LlamaFactory? FastEdit: 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 FastEdit and LlamaFactory? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [FastEdit trust report](/tools/hiyouga-fastedit/trust); [LlamaFactory trust report](/tools/hiyouga-llamafactory/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=hiyouga-fastedit`](/api/graphcanon/graph?tool=hiyouga-fastedit) - 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/_