--- title: "LlamaFactory vs WizardLM" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/hiyouga-llamafactory-vs-nlpxucan-wizardlm" tools: ["hiyouga-llamafactory", "nlpxucan-wizardlm"] --- # LlamaFactory vs WizardLM *GraphCanon updated Jul 11, 2026* ## Verdict Pick LlamaFactory when tags unique to LlamaFactory: gemma, fine-tuning, deepseek, ai; pick WizardLM when tags unique to WizardLM: python. [LlamaFactory](https://llamafactory.readthedocs.io) reports 73k GitHub stars, 8.9k forks, and 1.1k open issues, last pushed Jul 10, 2026. [WizardLM](https://github.com/nlpxucan/WizardLM) has 9.5k stars, 747 forks, and 169 open issues, last pushed Jun 7, 2025. Figures are from public GitHub metadata via [LlamaFactory's repository](https://github.com/hiyouga/LlamaFactory) and [WizardLM's repository](https://github.com/nlpxucan/WizardLM). | | [LlamaFactory](/tools/hiyouga-llamafactory.md) | [WizardLM](/tools/nlpxucan-wizardlm.md) | | --- | --- | --- | | Tagline | Unified Efficient Fine-Tuning of 100+ LLMs & VLMs | LLMs build upon Evol Insturct: WizardLM, WizardCoder, WizardMath | | Stars | 73,157 | 9,479 | | Forks | 8,937 | 747 | | Open issues | 1,067 | 169 | | Language | Python | 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 | LLM Frameworks, Model Training | LLM Frameworks, Model Training, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [LlamaFactory](/tools/hiyouga-llamafactory.md) | [WizardLM](/tools/nlpxucan-wizardlm.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 399d | | Open issues (now) | 1.1k | 169 | | Full report | [trust report](/tools/hiyouga-llamafactory/trust.md) | [trust report](/tools/nlpxucan-wizardlm/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… - Tags unique to LlamaFactory: gemma, fine-tuning, deepseek, ai. - When you need to fine-tune over 100 different LLMs or VLMs with efficient methods like LoRA or QLoRA. - More GitHub stars (73k vs 9.5k) - visibility, not fit. ### Choose WizardLM if… - Tags unique to WizardLM: python. - Also covers Evaluation & Observability. - Leaner open-issue backlog (169). ## 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 WizardLM - Last GitHub push was 400 days ago (dormant maintenance, Jun 7, 2025). Validate activity before betting a new project on WizardLM. - 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. - Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ## Common questions ### What is the difference between LlamaFactory and WizardLM? LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. WizardLM: LLMs build upon Evol Insturct: WizardLM, WizardCoder, WizardMath. See the comparison table for live GitHub stats and shared categories. ### When should I choose LlamaFactory over WizardLM? Choose LlamaFactory over WizardLM when Tags unique to LlamaFactory: gemma, fine-tuning, deepseek, ai; When you need to fine-tune over 100 different LLMs or VLMs with efficient methods like LoRA or QLoRA; More GitHub stars (73k vs 9.5k) - visibility, not fit. ### When should I choose WizardLM over LlamaFactory? Choose WizardLM over LlamaFactory when Tags unique to WizardLM: python; Also covers Evaluation & Observability; Leaner open-issue backlog (169). ### 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 WizardLM? Last GitHub push was 400 days ago (dormant maintenance, Jun 7, 2025). Validate activity before betting a new project on WizardLM. 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. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ### Is LlamaFactory or WizardLM more popular on GitHub? LlamaFactory has more GitHub stars (73,157 vs 9,479). Stars measure visibility, not whether either tool fits your constraints. ### Are LlamaFactory and WizardLM open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to LlamaFactory or WizardLM? GraphCanon lists graph-backed alternatives at [LlamaFactory alternatives](/tools/hiyouga-llamafactory/alternatives) and [WizardLM alternatives](/tools/nlpxucan-wizardlm/alternatives) ([LlamaFactory markdown twin](/tools/hiyouga-llamafactory/alternatives.md), [WizardLM markdown twin](/tools/nlpxucan-wizardlm/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-nlpxucan-wizardlm.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, LlamaFactory or WizardLM? LlamaFactory: Very active. WizardLM: Dormant. 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 WizardLM? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [LlamaFactory trust report](/tools/hiyouga-llamafactory/trust); [WizardLM trust report](/tools/nlpxucan-wizardlm/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/_