--- title: "LlamaFactory vs LocalAI" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/hiyouga-llamafactory-vs-mudler-localai" tools: ["hiyouga-llamafactory", "mudler-localai"] --- # LlamaFactory vs LocalAI *GraphCanon updated Jul 17, 2026* ## Verdict Pick LlamaFactory if 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; pick LocalAI if localAI is an open-source AI engine that supports the deployment of various models including LLMs and applications related to vision and audio across multiple hardware types without needing. [LlamaFactory](https://llamafactory.readthedocs.io) reports 73k GitHub stars, 9.0k forks, and 1.1k open issues, last pushed Jul 15, 2026. [LocalAI](https://localai.io) has 48k stars, 4.2k forks, and 209 open issues, last pushed Jul 16, 2026. Figures are from public GitHub metadata via [LlamaFactory's repository](https://github.com/hiyouga/LlamaFactory) and [LocalAI's repository](https://github.com/mudler/LocalAI). | | [LlamaFactory](/tools/hiyouga-llamafactory.md) | [LocalAI](/tools/mudler-localai.md) | | --- | --- | --- | | Tagline | Unified Efficient Fine-Tuning of 100+ LLMs & VLMs | Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required. | | Stars | 73,329 | 47,576 | | Forks | 8,951 | 4,244 | | Open issues | 1,074 | 209 | | Language | Python | Go | | 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. | LocalAI is an open-source AI engine that supports the deployment of various models including LLMs and applications related to vision and audio across multiple hardware types without needing a GPU. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | LLM Frameworks, Model Training | Computer Vision, LLM Frameworks, Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [LlamaFactory](/tools/hiyouga-llamafactory.md) | [LocalAI](/tools/mudler-localai.md) | | --- | --- | --- | | Days since push | 1d | 0d | | Open issues (now) | 1.1k | 209 | | Full report | [trust report](/tools/hiyouga-llamafactory/trust.md) | [trust report](/tools/mudler-localai/trust.md) | **Typed relationship:** LlamaFactory _(alternative)_ LocalAI LlamaFactory and LocalAI both aim to run AI models locally without requiring GPUs, providing alternatives in the execution space. ## 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. ## Decision facts: LocalAI - **Pricing:** freemium - As an open-source project under the MIT license, it is free to use and distribute. - **Adopt for:** LocalAI is an open-source AI engine that supports the deployment of various models including LLMs and applications related to vision and audio across multiple hardware types without needing a GPU. ## Choose when ### Choose LlamaFactory if… - LlamaFactory is primarily Python; LocalAI is Go. - License: LlamaFactory is Apache-2.0, LocalAI is MIT. - LlamaFactory and LocalAI both aim to run AI models locally without requiring GPUs, providing alternatives in the execution space. - Tags unique to LlamaFactory: agent, deepseek, fine-tuning, gemma. - Also covers Model Training. - When you need to fine-tune over 100 different LLMs or VLMs with efficient methods like LoRA or QLoRA. ### Choose LocalAI if… - LocalAI is primarily Go; LlamaFactory is Python. - License: LocalAI is MIT, LlamaFactory is Apache-2.0. - Pricing: As an open-source project under the MIT license, it is free to use and distribute.. - LlamaFactory and LocalAI both aim to run AI models locally without requiring GPUs, providing alternatives in the execution space. - Tags unique to LocalAI: agents, api, audio-generation, decentralized. - Also covers Computer Vision, Speech & Audio. - LocalAI ships Docker support for self-hosted deployment. - Use LocalAI when you need model flexibility, as it can run different types of models (LLMs, computer vision, speech & audio) on any type of hardware. ## 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 LocalAI - Avoid LocalAI if you need to leverage GPU-specific optimizations for performance acceleration as it promotes no-GPU usage, potentially sacrificing speed for accessibility. - Do not use LocalAI where specific language runtime environments are required that do not align with Go (the language in which LocalAI is written). ## Common questions ### What is the difference between LlamaFactory and LocalAI? LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. LocalAI: Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required.. See the comparison table for live GitHub stats and shared categories. ### When should I choose LlamaFactory over LocalAI? Choose LlamaFactory over LocalAI when LlamaFactory is primarily Python; LocalAI is Go; License: LlamaFactory is Apache-2.0, LocalAI is MIT; LlamaFactory and LocalAI both aim to run AI models locally without requiring GPUs, providing alternatives in the execution space; Tags unique to LlamaFactory: agent, deepseek, fine-tuning, gemma; Also covers Model Training; When you need to fine-tune over 100 different LLMs or VLMs with efficient methods like LoRA or QLoRA. ### When should I choose LocalAI over LlamaFactory? Choose LocalAI over LlamaFactory when LocalAI is primarily Go; LlamaFactory is Python; License: LocalAI is MIT, LlamaFactory is Apache-2.0; Pricing: As an open-source project under the MIT license, it is free to use and distribute.; LlamaFactory and LocalAI both aim to run AI models locally without requiring GPUs, providing alternatives in the execution space; Tags unique to LocalAI: agents, api, audio-generation, decentralized; Also covers Computer Vision, Speech & Audio; LocalAI ships Docker support for self-hosted deployment; Use LocalAI when you need model flexibility, as it can run different types of models (LLMs, computer vision, speech & audio) on any type of hardware. ### 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 LocalAI? Avoid LocalAI if you need to leverage GPU-specific optimizations for performance acceleration as it promotes no-GPU usage, potentially sacrificing speed for accessibility. Do not use LocalAI where specific language runtime environments are required that do not align with Go (the language in which LocalAI is written). ### Is LlamaFactory or LocalAI more popular on GitHub? LlamaFactory has more GitHub stars (73,329 vs 47,576). Stars measure visibility, not whether either tool fits your constraints. ### Are LlamaFactory and LocalAI open source? Yes - both are open-source projects on GitHub (LlamaFactory: Apache-2.0, LocalAI: MIT). ### Where can I find alternatives to LlamaFactory or LocalAI? GraphCanon lists graph-backed alternatives at [LlamaFactory alternatives](/tools/hiyouga-llamafactory/alternatives) and [LocalAI alternatives](/tools/mudler-localai/alternatives) ([LlamaFactory markdown twin](/tools/hiyouga-llamafactory/alternatives.md), [LocalAI markdown twin](/tools/mudler-localai/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-mudler-localai.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, LlamaFactory or LocalAI? LlamaFactory: Very active. LocalAI: 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 LocalAI? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [LlamaFactory trust report](/tools/hiyouga-llamafactory/trust); [LocalAI trust report](/tools/mudler-localai/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/_