--- title: "LlamaFactory vs TransformerEngine" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/hiyouga-llamafactory-vs-nvidia-transformerengine" tools: ["hiyouga-llamafactory", "nvidia-transformerengine"] --- # LlamaFactory vs TransformerEngine *GraphCanon updated Jul 12, 2026* ## Verdict Pick LlamaFactory when tags unique to LlamaFactory: agent, ai, deepseek, fine-tuning; pick TransformerEngine when tags unique to TransformerEngine: cuda, deep-learning, fp4, fp8. [LlamaFactory](https://llamafactory.readthedocs.io) reports 73k GitHub stars, 8.9k forks, and 1.1k open issues, last pushed Jul 10, 2026. [TransformerEngine](https://docs.nvidia.com/deeplearning/transformer-engine/user-guide/index.html) has 3.4k stars, 770 forks, and 299 open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [LlamaFactory's repository](https://github.com/hiyouga/LlamaFactory) and [TransformerEngine's repository](https://github.com/NVIDIA/TransformerEngine). | | [LlamaFactory](/tools/hiyouga-llamafactory.md) | [TransformerEngine](/tools/nvidia-transformerengine.md) | | --- | --- | --- | | Tagline | Unified Efficient Fine-Tuning of 100+ LLMs & VLMs | A library accelerating Transformer models on NVIDIA GPUs using low precision formats. | | Stars | 73,157 | 3,423 | | Forks | 8,937 | 770 | | Open issues | 1,067 | 299 | | 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 | Inference & Serving, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [LlamaFactory](/tools/hiyouga-llamafactory.md) | [TransformerEngine](/tools/nvidia-transformerengine.md) | | --- | --- | --- | | Open issues (now) | 1.1k | 299 | | Owner type | User | Organization | | Full report | [trust report](/tools/hiyouga-llamafactory/trust.md) | [trust report](/tools/nvidia-transformerengine/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 LlamaFactory if… - Tags unique to LlamaFactory: agent, ai, deepseek, fine-tuning. - Also covers LLM Frameworks. - When you need to fine-tune over 100 different LLMs or VLMs with efficient methods like LoRA or QLoRA. ### Choose TransformerEngine if… - Tags unique to TransformerEngine: cuda, deep-learning, fp4, fp8. - Also covers Inference & Serving. - More recently updated (last pushed Jul 10, 2026). ## 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 ## When NOT to use TransformerEngine - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ## Common questions ### What is the difference between LlamaFactory and TransformerEngine? LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. TransformerEngine: A library accelerating Transformer models on NVIDIA GPUs using low precision formats.. See the comparison table for live GitHub stats and shared categories. ### When should I choose LlamaFactory over TransformerEngine? Choose LlamaFactory over TransformerEngine when Tags unique to LlamaFactory: agent, ai, deepseek, fine-tuning; Also covers LLM Frameworks; When you need to fine-tune over 100 different LLMs or VLMs with efficient methods like LoRA or QLoRA. ### When should I choose TransformerEngine over LlamaFactory? Choose TransformerEngine over LlamaFactory when Tags unique to TransformerEngine: cuda, deep-learning, fp4, fp8; Also covers Inference & Serving; More recently updated (last pushed Jul 10, 2026). ### 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 ### When should I avoid TransformerEngine? Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ### Is LlamaFactory or TransformerEngine more popular on GitHub? LlamaFactory has more GitHub stars (73,157 vs 3,423). Stars measure visibility, not whether either tool fits your constraints. ### Are LlamaFactory and TransformerEngine open source? Yes - both are open-source projects on GitHub (LlamaFactory: Apache-2.0, TransformerEngine: Apache-2.0). ### Where can I find alternatives to LlamaFactory or TransformerEngine? GraphCanon lists graph-backed alternatives at [LlamaFactory alternatives](/tools/hiyouga-llamafactory/alternatives) and [TransformerEngine alternatives](/tools/nvidia-transformerengine/alternatives) ([LlamaFactory markdown twin](/tools/hiyouga-llamafactory/alternatives.md), [TransformerEngine markdown twin](/tools/nvidia-transformerengine/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-llamafactory-vs-nvidia-transformerengine.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, LlamaFactory or TransformerEngine? LlamaFactory: Very active. TransformerEngine: 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 LlamaFactory and TransformerEngine? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [LlamaFactory trust report](/tools/hiyouga-llamafactory/trust); [TransformerEngine trust report](/tools/nvidia-transformerengine/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=hiyouga-llamafactory`](/api/graphcanon/graph?tool=hiyouga-llamafactory) - 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/_