--- title: "PHUDGE vs LlamaFactory" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/deshwalmahesh-phudge-vs-hiyouga-llamafactory" tools: ["deshwalmahesh-phudge", "hiyouga-llamafactory"] --- # PHUDGE vs LlamaFactory *GraphCanon updated Jul 15, 2026* ## Verdict Pick PHUDGE when pHUDGE is primarily Jupyter Notebook; LlamaFactory is Python; pick LlamaFactory when llamaFactory is primarily Python; PHUDGE is Jupyter Notebook. [PHUDGE](https://arxiv.org/abs/2405.08029) reports 53 GitHub stars, 7 forks, and 1 open issues, last pushed Jul 10, 2024. [LlamaFactory](https://llamafactory.readthedocs.io) has 73k stars, 8.9k forks, and 1.1k open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [PHUDGE's repository](https://github.com/deshwalmahesh/PHUDGE) and [LlamaFactory's repository](https://github.com/hiyouga/LlamaFactory). | | [PHUDGE](/tools/deshwalmahesh-phudge.md) | [LlamaFactory](/tools/hiyouga-llamafactory.md) | | --- | --- | --- | | Tagline | Official repo for the paper PHUDGE: Phi-3 as Scalable Judge. Evaluate your LLMs with or without custom rubric, reference answer, absolute, relative and much more. It contains a list of all the availab | Unified Efficient Fine-Tuning of 100+ LLMs & VLMs | | Stars | 53 | 73,157 | | Forks | 7 | 8,937 | | Open issues | 1 | 1,067 | | Language | Jupyter Notebook | Python | | 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 | | Categories | Inference & Serving, LLM Frameworks, Model Training | LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [PHUDGE](/tools/deshwalmahesh-phudge.md) | [LlamaFactory](/tools/hiyouga-llamafactory.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 734d | 0d | | Open issues (now) | 1 | 1.1k | | Full report | [trust report](/tools/deshwalmahesh-phudge/trust.md) | [trust report](/tools/hiyouga-llamafactory/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 PHUDGE if… - PHUDGE is primarily Jupyter Notebook; LlamaFactory is Python. - Tags unique to PHUDGE: custom-dataset, evaluation, feedback-collection, finetuning. - Also covers Inference & Serving. ### Choose LlamaFactory if… - LlamaFactory is primarily Python; PHUDGE is Jupyter Notebook. - 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 NOT to use PHUDGE - Last GitHub push was 734 days ago (dormant maintenance, Jul 10, 2024). Validate activity before betting a new project on PHUDGE. - 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. ## 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 ## Common questions ### What is the difference between PHUDGE and LlamaFactory? PHUDGE: Official repo for the paper PHUDGE: Phi-3 as Scalable Judge. Evaluate your LLMs with or without custom rubric, reference answer, absolute, relative and much more. It contains a list of all the availab. LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. See the comparison table for live GitHub stats and shared categories. ### When should I choose PHUDGE over LlamaFactory? Choose PHUDGE over LlamaFactory when PHUDGE is primarily Jupyter Notebook; LlamaFactory is Python; Tags unique to PHUDGE: custom-dataset, evaluation, feedback-collection, finetuning; Also covers Inference & Serving. ### When should I choose LlamaFactory over PHUDGE? Choose LlamaFactory over PHUDGE when LlamaFactory is primarily Python; PHUDGE is Jupyter Notebook; 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 avoid PHUDGE? Last GitHub push was 734 days ago (dormant maintenance, Jul 10, 2024). Validate activity before betting a new project on PHUDGE. 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. ### 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 ### Is PHUDGE or LlamaFactory more popular on GitHub? LlamaFactory has more GitHub stars (73,157 vs 53). Stars measure visibility, not whether either tool fits your constraints. ### Are PHUDGE and LlamaFactory open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to PHUDGE or LlamaFactory? GraphCanon lists graph-backed alternatives at [PHUDGE alternatives](/tools/deshwalmahesh-phudge/alternatives) and [LlamaFactory alternatives](/tools/hiyouga-llamafactory/alternatives) ([PHUDGE markdown twin](/tools/deshwalmahesh-phudge/alternatives.md), [LlamaFactory markdown twin](/tools/hiyouga-llamafactory/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/deshwalmahesh-phudge-vs-hiyouga-llamafactory.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, PHUDGE or LlamaFactory? PHUDGE: Dormant. LlamaFactory: 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 PHUDGE and LlamaFactory? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [PHUDGE trust report](/tools/deshwalmahesh-phudge/trust); [LlamaFactory trust report](/tools/hiyouga-llamafactory/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=deshwalmahesh-phudge`](/api/graphcanon/graph?tool=deshwalmahesh-phudge) - 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/_