--- title: "LlamaFactory vs maclocal-api" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/hiyouga-llamafactory-vs-scouzi1966-maclocal-api" tools: ["hiyouga-llamafactory", "scouzi1966-maclocal-api"] --- # LlamaFactory vs maclocal-api *GraphCanon updated Jul 15, 2026* ## Verdict Pick LlamaFactory when llamaFactory is primarily Python; maclocal-api is Swift; pick maclocal-api when maclocal-api is primarily Swift; LlamaFactory is Python. [LlamaFactory](https://llamafactory.readthedocs.io) reports 73k GitHub stars, 8.9k forks, and 1.1k open issues, last pushed Jul 10, 2026. [maclocal-api](https://github.com/scouzi1966/maclocal-api) has 315 stars, 17 forks, and 23 open issues, last pushed Jul 14, 2026. Figures are from public GitHub metadata via [LlamaFactory's repository](https://github.com/hiyouga/LlamaFactory) and [maclocal-api's repository](https://github.com/scouzi1966/maclocal-api). | | [LlamaFactory](/tools/hiyouga-llamafactory.md) | [maclocal-api](/tools/scouzi1966-maclocal-api.md) | | --- | --- | --- | | Tagline | Unified Efficient Fine-Tuning of 100+ LLMs & VLMs | 'afm' command cli: macOS server and single prompt mode that exposes Apple's Foundation and MLX Models and other APIs running on your Mac through a single aggregated OpenAI-compatible API endpoint. Sup | | Stars | 73,157 | 315 | | Forks | 8,937 | 17 | | Open issues | 1,067 | 23 | | Language | Python | Swift | | 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 | Inference & Serving, LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [LlamaFactory](/tools/hiyouga-llamafactory.md) | [maclocal-api](/tools/scouzi1966-maclocal-api.md) | | --- | --- | --- | | Open issues (now) | 1.1k | 23 | | Full report | [trust report](/tools/hiyouga-llamafactory/trust.md) | [trust report](/tools/scouzi1966-maclocal-api/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… - LlamaFactory is primarily Python; maclocal-api is Swift. - License: LlamaFactory is Apache-2.0, maclocal-api is MIT. - Tags unique to LlamaFactory: agent, deepseek, fine-tuning, gemma. - When you need to fine-tune over 100 different LLMs or VLMs with efficient methods like LoRA or QLoRA. ### Choose maclocal-api if… - maclocal-api is primarily Swift; LlamaFactory is Python. - License: maclocal-api is MIT, LlamaFactory is Apache-2.0. - Tags unique to maclocal-api: apple-foundation-models, apple-intelligence, apple-llm, apple-llm-integration. - Also covers Inference & Serving. ## 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 maclocal-api - 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. ## Common questions ### What is the difference between LlamaFactory and maclocal-api? LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. maclocal-api: 'afm' command cli: macOS server and single prompt mode that exposes Apple's Foundation and MLX Models and other APIs running on your Mac through a single aggregated OpenAI-compatible API endpoint. Sup. See the comparison table for live GitHub stats and shared categories. ### When should I choose LlamaFactory over maclocal-api? Choose LlamaFactory over maclocal-api when LlamaFactory is primarily Python; maclocal-api is Swift; License: LlamaFactory is Apache-2.0, maclocal-api is MIT; Tags unique to LlamaFactory: agent, deepseek, fine-tuning, gemma; When you need to fine-tune over 100 different LLMs or VLMs with efficient methods like LoRA or QLoRA. ### When should I choose maclocal-api over LlamaFactory? Choose maclocal-api over LlamaFactory when maclocal-api is primarily Swift; LlamaFactory is Python; License: maclocal-api is MIT, LlamaFactory is Apache-2.0; Tags unique to maclocal-api: apple-foundation-models, apple-intelligence, apple-llm, apple-llm-integration; Also covers Inference & Serving. ### 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 maclocal-api? 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. ### Is LlamaFactory or maclocal-api more popular on GitHub? LlamaFactory has more GitHub stars (73,157 vs 315). Stars measure visibility, not whether either tool fits your constraints. ### Are LlamaFactory and maclocal-api open source? Yes - both are open-source projects on GitHub (LlamaFactory: Apache-2.0, maclocal-api: MIT). ### Where can I find alternatives to LlamaFactory or maclocal-api? GraphCanon lists graph-backed alternatives at [LlamaFactory alternatives](/tools/hiyouga-llamafactory/alternatives) and [maclocal-api alternatives](/tools/scouzi1966-maclocal-api/alternatives) ([LlamaFactory markdown twin](/tools/hiyouga-llamafactory/alternatives.md), [maclocal-api markdown twin](/tools/scouzi1966-maclocal-api/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-scouzi1966-maclocal-api.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, LlamaFactory or maclocal-api? LlamaFactory: Very active. maclocal-api: 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 maclocal-api? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [LlamaFactory trust report](/tools/hiyouga-llamafactory/trust); [maclocal-api trust report](/tools/scouzi1966-maclocal-api/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/_