--- title: "promptsource vs LlamaFactory" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/bigscience-workshop-promptsource-vs-hiyouga-llamafactory" tools: ["bigscience-workshop-promptsource", "hiyouga-llamafactory"] --- # promptsource vs LlamaFactory *GraphCanon updated Jul 12, 2026* ## Verdict Pick promptsource when tags unique to promptsource: machine-learning, natural-language-processing, nlp, python; pick LlamaFactory when tags unique to LlamaFactory: agent, ai, deepseek, fine-tuning. [promptsource](https://github.com/bigscience-workshop/promptsource) reports 3.0k GitHub stars, 377 forks, and 43 open issues, last pushed Oct 23, 2023. [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 [promptsource's repository](https://github.com/bigscience-workshop/promptsource) and [LlamaFactory's repository](https://github.com/hiyouga/LlamaFactory). | | [promptsource](/tools/bigscience-workshop-promptsource.md) | [LlamaFactory](/tools/hiyouga-llamafactory.md) | | --- | --- | --- | | Tagline | Toolkit for creating, sharing and using natural language prompts. | Unified Efficient Fine-Tuning of 100+ LLMs & VLMs | | Stars | 3,026 | 73,157 | | Forks | 377 | 8,937 | | Open issues | 43 | 1,067 | | 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 | Apache-2.0 | | Categories | Developer Tools, LLM Frameworks, Model Training | LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [promptsource](/tools/bigscience-workshop-promptsource.md) | [LlamaFactory](/tools/hiyouga-llamafactory.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 991d | 0d | | Open issues (now) | 43 | 1.1k | | Owner type | Organization | User | | Full report | [trust report](/tools/bigscience-workshop-promptsource/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 promptsource if… - Tags unique to promptsource: machine-learning, natural-language-processing, nlp, python. - Also covers Developer Tools. - Leaner open-issue backlog (43). ### Choose LlamaFactory if… - 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. - More GitHub stars (73k vs 3.0k) - visibility, not fit. ## When NOT to use promptsource - Last GitHub push was 992 days ago (dormant maintenance, Oct 23, 2023). Validate activity before betting a new project on promptsource. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. - 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 promptsource and LlamaFactory? promptsource: Toolkit for creating, sharing and using natural language prompts.. LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. See the comparison table for live GitHub stats and shared categories. ### When should I choose promptsource over LlamaFactory? Choose promptsource over LlamaFactory when Tags unique to promptsource: machine-learning, natural-language-processing, nlp, python; Also covers Developer Tools; Leaner open-issue backlog (43). ### When should I choose LlamaFactory over promptsource? Choose LlamaFactory over promptsource when 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; More GitHub stars (73k vs 3.0k) - visibility, not fit. ### When should I avoid promptsource? Last GitHub push was 992 days ago (dormant maintenance, Oct 23, 2023). Validate activity before betting a new project on promptsource. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. 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 promptsource or LlamaFactory more popular on GitHub? LlamaFactory has more GitHub stars (73,157 vs 3,026). Stars measure visibility, not whether either tool fits your constraints. ### Are promptsource and LlamaFactory open source? Yes - both are open-source projects on GitHub (promptsource: Apache-2.0, LlamaFactory: Apache-2.0). ### Where can I find alternatives to promptsource or LlamaFactory? GraphCanon lists graph-backed alternatives at [promptsource alternatives](/tools/bigscience-workshop-promptsource/alternatives) and [LlamaFactory alternatives](/tools/hiyouga-llamafactory/alternatives) ([promptsource markdown twin](/tools/bigscience-workshop-promptsource/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/bigscience-workshop-promptsource-vs-hiyouga-llamafactory.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, promptsource or LlamaFactory? promptsource: 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 promptsource and LlamaFactory? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [promptsource trust report](/tools/bigscience-workshop-promptsource/trust); [LlamaFactory trust report](/tools/hiyouga-llamafactory/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=bigscience-workshop-promptsource`](/api/graphcanon/graph?tool=bigscience-workshop-promptsource) - 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/_