--- title: "LlamaFactory vs mobilegym" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/hiyouga-llamafactory-vs-purewhiter-mobilegym" tools: ["hiyouga-llamafactory", "purewhiter-mobilegym"] --- # LlamaFactory vs mobilegym *GraphCanon updated Jul 15, 2026* ## Verdict Pick LlamaFactory when tags unique to LlamaFactory: deepseek, fine-tuning, gemma, gpt; pick mobilegym when tags unique to mobilegym: agents, android, automation, benchmark. [LlamaFactory](https://llamafactory.readthedocs.io) reports 73k GitHub stars, 8.9k forks, and 1.1k open issues, last pushed Jul 10, 2026. [mobilegym](https://mobilegym.dev) has 721 stars, 116 forks, and 5 open issues, last pushed Jul 1, 2026. Figures are from public GitHub metadata via [LlamaFactory's repository](https://github.com/hiyouga/LlamaFactory) and [mobilegym's repository](https://github.com/Purewhiter/mobilegym). | | [LlamaFactory](/tools/hiyouga-llamafactory.md) | [mobilegym](/tools/purewhiter-mobilegym.md) | | --- | --- | --- | | Tagline | Unified Efficient Fine-Tuning of 100+ LLMs & VLMs | MobileGym: A Verifiable and Highly Parallel Simulation Platform for Mobile GUI Agent Research · 浏览器里运行的安卓模拟器 · Browser-hosted Android Simulator · Verifiable Evaluation · Scalable Online RL Training | | Stars | 73,157 | 721 | | Forks | 8,937 | 116 | | Open issues | 1,067 | 5 | | 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 | AI Agents, LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [LlamaFactory](/tools/hiyouga-llamafactory.md) | [mobilegym](/tools/purewhiter-mobilegym.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 0d | 14d | | Open issues (now) | 1.1k | 5 | | Full report | [trust report](/tools/hiyouga-llamafactory/trust.md) | [trust report](/tools/purewhiter-mobilegym/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: deepseek, fine-tuning, gemma, gpt. - When you need to fine-tune over 100 different LLMs or VLMs with efficient methods like LoRA or QLoRA. - More GitHub stars (73k vs 721) - visibility, not fit. ### Choose mobilegym if… - Tags unique to mobilegym: agents, android, automation, benchmark. - Also covers AI Agents. - Leaner open-issue backlog (5). ## 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 mobilegym - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - 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 mobilegym? LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. mobilegym: MobileGym: A Verifiable and Highly Parallel Simulation Platform for Mobile GUI Agent Research · 浏览器里运行的安卓模拟器 · Browser-hosted Android Simulator · Verifiable Evaluation · Scalable Online RL Training. See the comparison table for live GitHub stats and shared categories. ### When should I choose LlamaFactory over mobilegym? Choose LlamaFactory over mobilegym when Tags unique to LlamaFactory: deepseek, fine-tuning, gemma, gpt; When you need to fine-tune over 100 different LLMs or VLMs with efficient methods like LoRA or QLoRA; More GitHub stars (73k vs 721) - visibility, not fit. ### When should I choose mobilegym over LlamaFactory? Choose mobilegym over LlamaFactory when Tags unique to mobilegym: agents, android, automation, benchmark; Also covers AI Agents; Leaner open-issue backlog (5). ### 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 mobilegym? AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. 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 mobilegym more popular on GitHub? LlamaFactory has more GitHub stars (73,157 vs 721). Stars measure visibility, not whether either tool fits your constraints. ### Are LlamaFactory and mobilegym open source? Yes - both are open-source projects on GitHub (LlamaFactory: Apache-2.0, mobilegym: Apache-2.0). ### Where can I find alternatives to LlamaFactory or mobilegym? GraphCanon lists graph-backed alternatives at [LlamaFactory alternatives](/tools/hiyouga-llamafactory/alternatives) and [mobilegym alternatives](/tools/purewhiter-mobilegym/alternatives) ([LlamaFactory markdown twin](/tools/hiyouga-llamafactory/alternatives.md), [mobilegym markdown twin](/tools/purewhiter-mobilegym/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-purewhiter-mobilegym.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, LlamaFactory or mobilegym? LlamaFactory: Very active. mobilegym: 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 mobilegym? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [LlamaFactory trust report](/tools/hiyouga-llamafactory/trust); [mobilegym trust report](/tools/purewhiter-mobilegym/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/_