--- title: "LLM-Finetuning-Toolkit vs LlamaFactory" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/georgian-io-llm-finetuning-toolkit-vs-hiyouga-llamafactory" tools: ["georgian-io-llm-finetuning-toolkit", "hiyouga-llamafactory"] --- # LLM-Finetuning-Toolkit vs LlamaFactory *GraphCanon updated Jul 11, 2026* ## Verdict Pick LLM-Finetuning-Toolkit when tags unique to LLM-Finetuning-Toolkit: falcon, flan-t5, finetuning, ablation-study; pick LlamaFactory when tags unique to LlamaFactory: gemma, deepseek, ai, instruction-tuning. [LLM-Finetuning-Toolkit](https://github.com/georgian-io/LLM-Finetuning-Toolkit) reports 871 GitHub stars, 107 forks, and 16 open issues, last pushed May 4, 2026. [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 [LLM-Finetuning-Toolkit's repository](https://github.com/georgian-io/LLM-Finetuning-Toolkit) and [LlamaFactory's repository](https://github.com/hiyouga/LlamaFactory). | | [LLM-Finetuning-Toolkit](/tools/georgian-io-llm-finetuning-toolkit.md) | [LlamaFactory](/tools/hiyouga-llamafactory.md) | | --- | --- | --- | | Tagline | Toolkit for fine-tuning, ablating and unit-testing open-source LLMs. | Unified Efficient Fine-Tuning of 100+ LLMs & VLMs | | Stars | 871 | 73,157 | | Forks | 107 | 8,937 | | Open issues | 16 | 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 | Model Training, LLM Frameworks, Developer Tools | LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [LLM-Finetuning-Toolkit](/tools/georgian-io-llm-finetuning-toolkit.md) | [LlamaFactory](/tools/hiyouga-llamafactory.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 67d | 0d | | Open issues (now) | 16 | 1.1k | | Owner type | Organization | User | | Full report | [trust report](/tools/georgian-io-llm-finetuning-toolkit/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 LLM-Finetuning-Toolkit if… - Tags unique to LLM-Finetuning-Toolkit: falcon, flan-t5, finetuning, ablation-study. - Also covers Developer Tools. - Leaner open-issue backlog (16). ### Choose LlamaFactory if… - Tags unique to LlamaFactory: gemma, deepseek, ai, instruction-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 871) - visibility, not fit. ## When NOT to use LLM-Finetuning-Toolkit - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ## 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 LLM-Finetuning-Toolkit and LlamaFactory? LLM-Finetuning-Toolkit: Toolkit for fine-tuning, ablating and unit-testing open-source LLMs.. LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. See the comparison table for live GitHub stats and shared categories. ### When should I choose LLM-Finetuning-Toolkit over LlamaFactory? Choose LLM-Finetuning-Toolkit over LlamaFactory when Tags unique to LLM-Finetuning-Toolkit: falcon, flan-t5, finetuning, ablation-study; Also covers Developer Tools; Leaner open-issue backlog (16). ### When should I choose LlamaFactory over LLM-Finetuning-Toolkit? Choose LlamaFactory over LLM-Finetuning-Toolkit when Tags unique to LlamaFactory: gemma, deepseek, ai, instruction-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 871) - visibility, not fit. ### When should I avoid LLM-Finetuning-Toolkit? Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### 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 LLM-Finetuning-Toolkit or LlamaFactory more popular on GitHub? LlamaFactory has more GitHub stars (73,157 vs 871). Stars measure visibility, not whether either tool fits your constraints. ### Are LLM-Finetuning-Toolkit and LlamaFactory open source? Yes - both are open-source projects on GitHub (LLM-Finetuning-Toolkit: Apache-2.0, LlamaFactory: Apache-2.0). ### Where can I find alternatives to LLM-Finetuning-Toolkit or LlamaFactory? GraphCanon lists graph-backed alternatives at [LLM-Finetuning-Toolkit alternatives](/tools/georgian-io-llm-finetuning-toolkit/alternatives) and [LlamaFactory alternatives](/tools/hiyouga-llamafactory/alternatives) ([LLM-Finetuning-Toolkit markdown twin](/tools/georgian-io-llm-finetuning-toolkit/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/georgian-io-llm-finetuning-toolkit-vs-hiyouga-llamafactory.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, LLM-Finetuning-Toolkit or LlamaFactory? LLM-Finetuning-Toolkit: Steady. 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 LLM-Finetuning-Toolkit and LlamaFactory? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [LLM-Finetuning-Toolkit trust report](/tools/georgian-io-llm-finetuning-toolkit/trust); [LlamaFactory trust report](/tools/hiyouga-llamafactory/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=georgian-io-llm-finetuning-toolkit`](/api/graphcanon/graph?tool=georgian-io-llm-finetuning-toolkit) - 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/_