--- title: "LlamaFactory vs SAM-Adapter-PyTorch" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/hiyouga-llamafactory-vs-tianrun-chen-sam-adapter-pytorch" tools: ["hiyouga-llamafactory", "tianrun-chen-sam-adapter-pytorch"] --- # LlamaFactory vs SAM-Adapter-PyTorch *GraphCanon updated Jul 12, 2026* ## Verdict Pick LlamaFactory when license: LlamaFactory is Apache-2.0, SAM-Adapter-PyTorch is MIT; pick SAM-Adapter-PyTorch when license: SAM-Adapter-PyTorch is MIT, LlamaFactory is Apache-2.0. [LlamaFactory](https://llamafactory.readthedocs.io) reports 73k GitHub stars, 8.9k forks, and 1.1k open issues, last pushed Jul 10, 2026. [SAM-Adapter-PyTorch](https://github.com/tianrun-chen/SAM-Adapter-PyTorch) has 1.5k stars, 123 forks, and 66 open issues, last pushed May 17, 2026. Figures are from public GitHub metadata via [LlamaFactory's repository](https://github.com/hiyouga/LlamaFactory) and [SAM-Adapter-PyTorch's repository](https://github.com/tianrun-chen/SAM-Adapter-PyTorch). | | [LlamaFactory](/tools/hiyouga-llamafactory.md) | [SAM-Adapter-PyTorch](/tools/tianrun-chen-sam-adapter-pytorch.md) | | --- | --- | --- | | Tagline | Unified Efficient Fine-Tuning of 100+ LLMs & VLMs | Adapting Meta AI's Segment Anything to Downstream Tasks with Adapters and Prompts | | Stars | 73,157 | 1,543 | | Forks | 8,937 | 123 | | Open issues | 1,067 | 66 | | 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 | MIT | | Categories | LLM Frameworks, Model Training | Computer Vision, LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [LlamaFactory](/tools/hiyouga-llamafactory.md) | [SAM-Adapter-PyTorch](/tools/tianrun-chen-sam-adapter-pytorch.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Steady (60%) | | Days since push | 0d | 55d | | Open issues (now) | 1.1k | 66 | | Full report | [trust report](/tools/hiyouga-llamafactory/trust.md) | [trust report](/tools/tianrun-chen-sam-adapter-pytorch/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… - License: LlamaFactory is Apache-2.0, SAM-Adapter-PyTorch is MIT. - 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. ### Choose SAM-Adapter-PyTorch if… - License: SAM-Adapter-PyTorch is MIT, LlamaFactory is Apache-2.0. - Tags unique to SAM-Adapter-PyTorch: 2d-segmentation, adapter, camouflage-images, camouflaged-object-detection. - Also covers Computer Vision. ## 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 SAM-Adapter-PyTorch - 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. ## Common questions ### What is the difference between LlamaFactory and SAM-Adapter-PyTorch? LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. SAM-Adapter-PyTorch: Adapting Meta AI's Segment Anything to Downstream Tasks with Adapters and Prompts. See the comparison table for live GitHub stats and shared categories. ### When should I choose LlamaFactory over SAM-Adapter-PyTorch? Choose LlamaFactory over SAM-Adapter-PyTorch when License: LlamaFactory is Apache-2.0, SAM-Adapter-PyTorch is MIT; 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. ### When should I choose SAM-Adapter-PyTorch over LlamaFactory? Choose SAM-Adapter-PyTorch over LlamaFactory when License: SAM-Adapter-PyTorch is MIT, LlamaFactory is Apache-2.0; Tags unique to SAM-Adapter-PyTorch: 2d-segmentation, adapter, camouflage-images, camouflaged-object-detection; Also covers Computer Vision. ### 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 SAM-Adapter-PyTorch? 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. ### Is LlamaFactory or SAM-Adapter-PyTorch more popular on GitHub? LlamaFactory has more GitHub stars (73,157 vs 1,543). Stars measure visibility, not whether either tool fits your constraints. ### Are LlamaFactory and SAM-Adapter-PyTorch open source? Yes - both are open-source projects on GitHub (LlamaFactory: Apache-2.0, SAM-Adapter-PyTorch: MIT). ### Where can I find alternatives to LlamaFactory or SAM-Adapter-PyTorch? GraphCanon lists graph-backed alternatives at [LlamaFactory alternatives](/tools/hiyouga-llamafactory/alternatives) and [SAM-Adapter-PyTorch alternatives](/tools/tianrun-chen-sam-adapter-pytorch/alternatives) ([LlamaFactory markdown twin](/tools/hiyouga-llamafactory/alternatives.md), [SAM-Adapter-PyTorch markdown twin](/tools/tianrun-chen-sam-adapter-pytorch/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-tianrun-chen-sam-adapter-pytorch.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, LlamaFactory or SAM-Adapter-PyTorch? LlamaFactory: Very active. SAM-Adapter-PyTorch: Steady. 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 SAM-Adapter-PyTorch? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [LlamaFactory trust report](/tools/hiyouga-llamafactory/trust); [SAM-Adapter-PyTorch trust report](/tools/tianrun-chen-sam-adapter-pytorch/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/_