--- title: "LlamaFactory vs MiniMax-01" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/hiyouga-llamafactory-vs-minimax-ai-minimax-01" tools: ["hiyouga-llamafactory", "minimax-ai-minimax-01"] --- # LlamaFactory vs MiniMax-01 Neutral, constraint-first comparison with live GitHub stats. | | [LlamaFactory](/tools/hiyouga-llamafactory.md) | [MiniMax-01](/tools/minimax-ai-minimax-01.md) | | --- | --- | --- | | Tagline | Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024) | Repository for the MiniMax-Text-01 and MiniMax-VL-01 models | | Stars | 73,068 | 3,445 | | Forks | 8,931 | 330 | | Open issues | 1,063 | 8 | | Language | Python | Python | | Adopt for | Decision-critical facts about LlamaFactory. | MiniMax-01 is a set of large language models designed for text and vision-language tasks, distinguished by their use of Linear Attention. Here are key facts to consider when deciding if MiniMax-01 is the right tool for a | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | LLM Frameworks, Model Training | LLM Frameworks, Computer Vision | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [LlamaFactory](/tools/hiyouga-llamafactory.md) | [MiniMax-01](/tools/minimax-ai-minimax-01.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 365d | | Open issues (now) | 1.1k | 8 | | Owner type | User | Organization | | Security scan | No lockfile | Not scanned | | Full report | [trust report](/tools/hiyouga-llamafactory/trust.md) | [trust report](/tools/minimax-ai-minimax-01/trust.md) | **Typed relationship:** LlamaFactory _(integrates with)_ MiniMax-01 ## Decision facts: LlamaFactory - **Adopt for:** Decision-critical facts about LlamaFactory. ## Decision facts: MiniMax-01 - **Adopt for:** MiniMax-01 is a set of large language models designed for text and vision-language tasks, distinguished by their use of Linear Attention. Here are key facts to consider when deciding if MiniMax-01 is the right tool for a ## Choose when ### Choose LlamaFactory if… - License: LlamaFactory is Apache-2.0, MiniMax-01 is MIT. - Graph edge: LlamaFactory is a typed integrates with of MiniMax-01 - see the relationship row above. - Tags unique to LlamaFactory: llama, fine-tuning, deepseek, ai. - Also covers Model Training. - LlamaFactory is ideal when you need to fine-tune a wide variety of large language models (LLMs) and vision-language models (VLMs), with support for over 100 different models. ### Choose MiniMax-01 if… - License: MiniMax-01 is MIT, LlamaFactory is Apache-2.0. - Graph edge: MiniMax-01 is a typed integrates with of LlamaFactory - see the relationship row above. - Tags unique to MiniMax-01: linear-attention, large-language-model, vision-language-model. - Also covers Computer Vision. - When you need advanced text processing capabilities alongside vision-language support with Linear Attention, making it suitable for projects requiring deep understanding and generation in both text孤单中 ## When NOT to use LlamaFactory - LlamaFactory might not be the best choice if you're looking for real-time model deployment capabilities out-of-the-box without additional configurations or integrations beyond what it offers (e.g., in - more real-time critical applications where direct deployment frameworks are preferred). - If your project does not require extensive support from the community of LLaMA users and partners like Amazon, NVIDIA, or Aliyun, you may find other tools more suitable due to potentially fewer integr ## When NOT to use MiniMax-01 - Avoid using MiniMax-01 if your project strictly focuses on speech recognition or translation tasks, as the repository primarily emphasizes text and vision-language capabilities. - Do not use this tool if you are looking for a comprehensive solution that includes real-time data processing and streaming technologies; MiniMax-01 is more focused on static model-based operations. ## Common questions ### What is the difference between LlamaFactory and MiniMax-01? LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024). MiniMax-01: Repository for the MiniMax-Text-01 and MiniMax-VL-01 models. See the comparison table for live GitHub stats and shared categories. ### When should I choose LlamaFactory over MiniMax-01? Choose LlamaFactory over MiniMax-01 when License: LlamaFactory is Apache-2.0, MiniMax-01 is MIT; Graph edge: LlamaFactory is a typed integrates with of MiniMax-01 - see the relationship row above; Tags unique to LlamaFactory: llama, fine-tuning, deepseek, ai; Also covers Model Training; LlamaFactory is ideal when you need to fine-tune a wide variety of large language models (LLMs) and vision-language models (VLMs), with support for over 100 different models. ### When should I choose MiniMax-01 over LlamaFactory? Choose MiniMax-01 over LlamaFactory when License: MiniMax-01 is MIT, LlamaFactory is Apache-2.0; Graph edge: MiniMax-01 is a typed integrates with of LlamaFactory - see the relationship row above; Tags unique to MiniMax-01: linear-attention, large-language-model, vision-language-model; Also covers Computer Vision; When you need advanced text processing capabilities alongside vision-language support with Linear Attention, making it suitable for projects requiring deep understanding and generation in both text孤单中. ### When should I avoid LlamaFactory? LlamaFactory might not be the best choice if you're looking for real-time model deployment capabilities out-of-the-box without additional configurations or integrations beyond what it offers (e.g., in more real-time critical applications where direct deployment frameworks are preferred). If your project does not require extensive support from the community of LLaMA users and partners like Amazon, NVIDIA, or Aliyun, you may find other tools more suitable due to potentially fewer integr ### When should I avoid MiniMax-01? Avoid using MiniMax-01 if your project strictly focuses on speech recognition or translation tasks, as the repository primarily emphasizes text and vision-language capabilities. Do not use this tool if you are looking for a comprehensive solution that includes real-time data processing and streaming technologies; MiniMax-01 is more focused on static model-based operations. ### Is LlamaFactory or MiniMax-01 more popular on GitHub? LlamaFactory has more GitHub stars (73,068 vs 3,445). Stars measure visibility, not whether either tool fits your constraints. ### Are LlamaFactory and MiniMax-01 open source? Yes - both are open-source projects on GitHub (LlamaFactory: Apache-2.0, MiniMax-01: MIT). ### Where can I find alternatives to LlamaFactory or MiniMax-01? GraphCanon lists graph-backed alternatives at /tools/hiyouga-llamafactory/alternatives and /tools/minimax-ai-minimax-01/alternatives (/tools/hiyouga-llamafactory/alternatives.md, /tools/minimax-ai-minimax-01/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 /compare/hiyouga-llamafactory-vs-minimax-ai-minimax-01.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, LlamaFactory or MiniMax-01? LlamaFactory: Very active. MiniMax-01: Dormant. 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 MiniMax-01? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LlamaFactory: /tools/hiyouga-llamafactory/trust; MiniMax-01: /tools/minimax-ai-minimax-01/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/_