--- title: "LlamaFactory vs femtoGPT" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/hiyouga-llamafactory-vs-keyvank-femtogpt" tools: ["hiyouga-llamafactory", "keyvank-femtogpt"] --- # LlamaFactory vs femtoGPT *GraphCanon updated Jul 12, 2026* ## Verdict Pick LlamaFactory when llamaFactory is primarily Python; femtoGPT is Rust; pick femtoGPT when femtoGPT 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. [femtoGPT](https://discord.gg/wTJFaDVn45) has 934 stars, 66 forks, and 10 open issues, last pushed Oct 21, 2025. Figures are from public GitHub metadata via [LlamaFactory's repository](https://github.com/hiyouga/LlamaFactory) and [femtoGPT's repository](https://github.com/keyvank/femtoGPT). | | [LlamaFactory](/tools/hiyouga-llamafactory.md) | [femtoGPT](/tools/keyvank-femtogpt.md) | | --- | --- | --- | | Tagline | Unified Efficient Fine-Tuning of 100+ LLMs & VLMs | Pure Rust implementation of a minimal Generative Pretrained Transformer | | Stars | 73,157 | 934 | | Forks | 8,937 | 66 | | Open issues | 1,067 | 10 | | 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 | 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) | [femtoGPT](/tools/keyvank-femtogpt.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 262d | | Open issues (now) | 1.1k | 10 | | Full report | [trust report](/tools/hiyouga-llamafactory/trust.md) | [trust report](/tools/keyvank-femtogpt/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; femtoGPT is Rust. - License: LlamaFactory is Apache-2.0, femtoGPT is MIT. - 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 femtoGPT if… - femtoGPT is primarily Rust; LlamaFactory is Python. - License: femtoGPT is MIT, LlamaFactory is Apache-2.0. - Tags unique to femtoGPT: from-scratch, gpu, hacktoberfest, llm. - 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 femtoGPT - Last GitHub push was 263 days ago (slowing maintenance, Oct 21, 2025). Validate activity before betting a new project on femtoGPT. - 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 femtoGPT? LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. femtoGPT: Pure Rust implementation of a minimal Generative Pretrained Transformer. See the comparison table for live GitHub stats and shared categories. ### When should I choose LlamaFactory over femtoGPT? Choose LlamaFactory over femtoGPT when LlamaFactory is primarily Python; femtoGPT is Rust; License: LlamaFactory is Apache-2.0, femtoGPT is MIT; 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 femtoGPT over LlamaFactory? Choose femtoGPT over LlamaFactory when femtoGPT is primarily Rust; LlamaFactory is Python; License: femtoGPT is MIT, LlamaFactory is Apache-2.0; Tags unique to femtoGPT: from-scratch, gpu, hacktoberfest, llm; 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 femtoGPT? Last GitHub push was 263 days ago (slowing maintenance, Oct 21, 2025). Validate activity before betting a new project on femtoGPT. 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 femtoGPT more popular on GitHub? LlamaFactory has more GitHub stars (73,157 vs 934). Stars measure visibility, not whether either tool fits your constraints. ### Are LlamaFactory and femtoGPT open source? Yes - both are open-source projects on GitHub (LlamaFactory: Apache-2.0, femtoGPT: MIT). ### Where can I find alternatives to LlamaFactory or femtoGPT? GraphCanon lists graph-backed alternatives at [LlamaFactory alternatives](/tools/hiyouga-llamafactory/alternatives) and [femtoGPT alternatives](/tools/keyvank-femtogpt/alternatives) ([LlamaFactory markdown twin](/tools/hiyouga-llamafactory/alternatives.md), [femtoGPT markdown twin](/tools/keyvank-femtogpt/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-keyvank-femtogpt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, LlamaFactory or femtoGPT? LlamaFactory: Very active. femtoGPT: Slowing. 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 femtoGPT? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [LlamaFactory trust report](/tools/hiyouga-llamafactory/trust); [femtoGPT trust report](/tools/keyvank-femtogpt/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/_