--- title: "LlamaFactory vs shimmy" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/hiyouga-llamafactory-vs-michael-a-kuykendall-shimmy" tools: ["hiyouga-llamafactory", "michael-a-kuykendall-shimmy"] --- # LlamaFactory vs shimmy *GraphCanon updated Jul 11, 2026* ## Verdict Pick LlamaFactory when llamaFactory is primarily Python; shimmy is Rust; pick shimmy when shimmy is primarily Rust; 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. [shimmy](https://github.com/Michael-A-Kuykendall/shimmy) has 5.6k stars, 542 forks, and 11 open issues, last pushed Jun 30, 2026. Figures are from public GitHub metadata via [LlamaFactory's repository](https://github.com/hiyouga/LlamaFactory) and [shimmy's repository](https://github.com/Michael-A-Kuykendall/shimmy). | | [LlamaFactory](/tools/hiyouga-llamafactory.md) | [shimmy](/tools/michael-a-kuykendall-shimmy.md) | | --- | --- | --- | | Tagline | Unified Efficient Fine-Tuning of 100+ LLMs & VLMs | ⚡ Pure-Rust WebGPU inference engine — OpenAI-API compatible, GGUF native, runs on any GPU. No Python. No llama.cpp. Single binary. | | Stars | 73,157 | 5,627 | | Forks | 8,937 | 542 | | Open issues | 1,067 | 11 | | Language | Python | Rust | | 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 | Inference & Serving, LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [LlamaFactory](/tools/hiyouga-llamafactory.md) | [shimmy](/tools/michael-a-kuykendall-shimmy.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 0d | 10d | | Open issues (now) | 1.1k | 11 | | Full report | [trust report](/tools/hiyouga-llamafactory/trust.md) | [trust report](/tools/michael-a-kuykendall-shimmy/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; shimmy is Rust. - 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. ### Choose shimmy if… - shimmy is primarily Rust; LlamaFactory is Python. - Tags unique to shimmy: api-server, command-line-tool, developer-tools, gguf. - 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 shimmy - 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 shimmy? LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. shimmy: ⚡ Pure-Rust WebGPU inference engine — OpenAI-API compatible, GGUF native, runs on any GPU. No Python. No llama.cpp. Single binary.. See the comparison table for live GitHub stats and shared categories. ### When should I choose LlamaFactory over shimmy? Choose LlamaFactory over shimmy when LlamaFactory is primarily Python; shimmy is Rust; 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. ### When should I choose shimmy over LlamaFactory? Choose shimmy over LlamaFactory when shimmy is primarily Rust; LlamaFactory is Python; Tags unique to shimmy: api-server, command-line-tool, developer-tools, gguf; 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 shimmy? 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 shimmy more popular on GitHub? LlamaFactory has more GitHub stars (73,157 vs 5,627). Stars measure visibility, not whether either tool fits your constraints. ### Are LlamaFactory and shimmy open source? Yes - both are open-source projects on GitHub (LlamaFactory: Apache-2.0, shimmy: Apache-2.0). ### Where can I find alternatives to LlamaFactory or shimmy? GraphCanon lists graph-backed alternatives at [LlamaFactory alternatives](/tools/hiyouga-llamafactory/alternatives) and [shimmy alternatives](/tools/michael-a-kuykendall-shimmy/alternatives) ([LlamaFactory markdown twin](/tools/hiyouga-llamafactory/alternatives.md), [shimmy markdown twin](/tools/michael-a-kuykendall-shimmy/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-michael-a-kuykendall-shimmy.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, LlamaFactory or shimmy? LlamaFactory: Very active. shimmy: 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 shimmy? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [LlamaFactory trust report](/tools/hiyouga-llamafactory/trust); [shimmy trust report](/tools/michael-a-kuykendall-shimmy/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/_