--- title: "FLsystem-paper vs LlamaFactory" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/amberljc-flsystem-paper-vs-hiyouga-llamafactory" tools: ["amberljc-flsystem-paper", "hiyouga-llamafactory"] --- # FLsystem-paper vs LlamaFactory *GraphCanon updated Jul 11, 2026* ## Verdict Pick FLsystem-paper when tags unique to FLsystem-paper: awesome-list, federated-learning, machine-learning, mlsys; pick LlamaFactory when tags unique to LlamaFactory: agent, ai, deepseek, fine-tuning. [FLsystem-paper](https://github.com/AmberLJC/FLsystem-paper) reports 75 GitHub stars, 7 forks, and 1 open issues, last pushed Feb 7, 2024. [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 [FLsystem-paper's repository](https://github.com/AmberLJC/FLsystem-paper) and [LlamaFactory's repository](https://github.com/hiyouga/LlamaFactory). | | [FLsystem-paper](/tools/amberljc-flsystem-paper.md) | [LlamaFactory](/tools/hiyouga-llamafactory.md) | | --- | --- | --- | | Tagline | Federated Learning Systems Paper List | Unified Efficient Fine-Tuning of 100+ LLMs & VLMs | | Stars | 75 | 73,157 | | Forks | 7 | 8,937 | | Open issues | 1 | 1,067 | | Language | - | 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 | | Categories | Inference & Serving, LLM Frameworks, Model Training | LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [FLsystem-paper](/tools/amberljc-flsystem-paper.md) | [LlamaFactory](/tools/hiyouga-llamafactory.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 885d | 0d | | Open issues (now) | 1 | 1.1k | | Full report | [trust report](/tools/amberljc-flsystem-paper/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 FLsystem-paper if… - Tags unique to FLsystem-paper: awesome-list, federated-learning, machine-learning, mlsys. - Also covers Inference & Serving. - Leaner open-issue backlog (1). ### Choose LlamaFactory if… - 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 75) - visibility, not fit. ## When NOT to use FLsystem-paper - Last GitHub push was 886 days ago (dormant maintenance, Feb 7, 2024). Validate activity before betting a new project on FLsystem-paper. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. - 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 FLsystem-paper and LlamaFactory? FLsystem-paper: Federated Learning Systems Paper List. LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. See the comparison table for live GitHub stats and shared categories. ### When should I choose FLsystem-paper over LlamaFactory? Choose FLsystem-paper over LlamaFactory when Tags unique to FLsystem-paper: awesome-list, federated-learning, machine-learning, mlsys; Also covers Inference & Serving; Leaner open-issue backlog (1). ### When should I choose LlamaFactory over FLsystem-paper? Choose LlamaFactory over FLsystem-paper 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 75) - visibility, not fit. ### When should I avoid FLsystem-paper? Last GitHub push was 886 days ago (dormant maintenance, Feb 7, 2024). Validate activity before betting a new project on FLsystem-paper. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. 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 FLsystem-paper or LlamaFactory more popular on GitHub? LlamaFactory has more GitHub stars (73,157 vs 75). Stars measure visibility, not whether either tool fits your constraints. ### Are FLsystem-paper and LlamaFactory open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to FLsystem-paper or LlamaFactory? GraphCanon lists graph-backed alternatives at [FLsystem-paper alternatives](/tools/amberljc-flsystem-paper/alternatives) and [LlamaFactory alternatives](/tools/hiyouga-llamafactory/alternatives) ([FLsystem-paper markdown twin](/tools/amberljc-flsystem-paper/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/amberljc-flsystem-paper-vs-hiyouga-llamafactory.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, FLsystem-paper or LlamaFactory? FLsystem-paper: 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 FLsystem-paper and LlamaFactory? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [FLsystem-paper trust report](/tools/amberljc-flsystem-paper/trust); [LlamaFactory trust report](/tools/hiyouga-llamafactory/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=amberljc-flsystem-paper`](/api/graphcanon/graph?tool=amberljc-flsystem-paper) - 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/_