--- title: "LlamaFactory vs baseline-defenses" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/hiyouga-llamafactory-vs-neelsjain-baseline-defenses" tools: ["hiyouga-llamafactory", "neelsjain-baseline-defenses"] --- # LlamaFactory vs baseline-defenses *GraphCanon updated Jul 11, 2026* ## Verdict Pick LlamaFactory when tags unique to LlamaFactory: gemma, fine-tuning, deepseek, ai; pick baseline-defenses when tags unique to baseline-defenses: python. [LlamaFactory](https://llamafactory.readthedocs.io) reports 73k GitHub stars, 8.9k forks, and 1.1k open issues, last pushed Jul 10, 2026. [baseline-defenses](https://github.com/neelsjain/baseline-defenses) has 34 stars, 1 forks, and 0 open issues, last pushed Oct 26, 2023. Figures are from public GitHub metadata via [LlamaFactory's repository](https://github.com/hiyouga/LlamaFactory) and [baseline-defenses's repository](https://github.com/neelsjain/baseline-defenses). | | [LlamaFactory](/tools/hiyouga-llamafactory.md) | [baseline-defenses](/tools/neelsjain-baseline-defenses.md) | | --- | --- | --- | | Tagline | Unified Efficient Fine-Tuning of 100+ LLMs & VLMs | Official Code for "Baseline Defenses for Adversarial Attacks Against Aligned Language Models" | | Stars | 73,157 | 34 | | Forks | 8,937 | 1 | | Open issues | 1,067 | 0 | | 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 | Model Training, LLM Frameworks, Computer Vision | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [LlamaFactory](/tools/hiyouga-llamafactory.md) | [baseline-defenses](/tools/neelsjain-baseline-defenses.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 989d | | Open issues (now) | 1.1k | 0 | | Full report | [trust report](/tools/hiyouga-llamafactory/trust.md) | [trust report](/tools/neelsjain-baseline-defenses/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 34) - visibility, not fit. ### Choose baseline-defenses if… - Tags unique to baseline-defenses: python. - Also covers Computer Vision. - Leaner open-issue backlog (0). ## 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 baseline-defenses - Last GitHub push was 989 days ago (dormant maintenance, Oct 26, 2023). Validate activity before betting a new project on baseline-defenses. - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## Common questions ### What is the difference between LlamaFactory and baseline-defenses? LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. baseline-defenses: Official Code for "Baseline Defenses for Adversarial Attacks Against Aligned Language Models". See the comparison table for live GitHub stats and shared categories. ### When should I choose LlamaFactory over baseline-defenses? Choose LlamaFactory over baseline-defenses 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 34) - visibility, not fit. ### When should I choose baseline-defenses over LlamaFactory? Choose baseline-defenses over LlamaFactory when Tags unique to baseline-defenses: python; Also covers Computer Vision; Leaner open-issue backlog (0). ### 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 baseline-defenses? Last GitHub push was 989 days ago (dormant maintenance, Oct 26, 2023). Validate activity before betting a new project on baseline-defenses. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### Is LlamaFactory or baseline-defenses more popular on GitHub? LlamaFactory has more GitHub stars (73,157 vs 34). Stars measure visibility, not whether either tool fits your constraints. ### Are LlamaFactory and baseline-defenses open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to LlamaFactory or baseline-defenses? GraphCanon lists graph-backed alternatives at [LlamaFactory alternatives](/tools/hiyouga-llamafactory/alternatives) and [baseline-defenses alternatives](/tools/neelsjain-baseline-defenses/alternatives) ([LlamaFactory markdown twin](/tools/hiyouga-llamafactory/alternatives.md), [baseline-defenses markdown twin](/tools/neelsjain-baseline-defenses/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-neelsjain-baseline-defenses.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, LlamaFactory or baseline-defenses? LlamaFactory: Very active. baseline-defenses: 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 baseline-defenses? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [LlamaFactory trust report](/tools/hiyouga-llamafactory/trust); [baseline-defenses trust report](/tools/neelsjain-baseline-defenses/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/_