--- title: "LlamaFactory vs StableLM" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/hiyouga-llamafactory-vs-stability-ai-stablelm" tools: ["hiyouga-llamafactory", "stability-ai-stablelm"] --- # LlamaFactory vs StableLM *GraphCanon updated Jul 11, 2026* ## Verdict Pick LlamaFactory when llamaFactory is primarily Python; StableLM is Jupyter Notebook; pick StableLM when stableLM is primarily Jupyter Notebook; 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. [StableLM](https://github.com/Stability-AI/StableLM) has 16k stars, 1.0k forks, and 28 open issues, last pushed Apr 8, 2024. Figures are from public GitHub metadata via [LlamaFactory's repository](https://github.com/hiyouga/LlamaFactory) and [StableLM's repository](https://github.com/Stability-AI/StableLM). | | [LlamaFactory](/tools/hiyouga-llamafactory.md) | [StableLM](/tools/stability-ai-stablelm.md) | | --- | --- | --- | | Tagline | Unified Efficient Fine-Tuning of 100+ LLMs & VLMs | StableLM: Stability AI Language Models | | Stars | 73,157 | 15,689 | | Forks | 8,937 | 1,006 | | Open issues | 1,067 | 28 | | Language | Python | Jupyter Notebook | | 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 | LLM Frameworks, Model Training | LLM Frameworks, Model Training, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [LlamaFactory](/tools/hiyouga-llamafactory.md) | [StableLM](/tools/stability-ai-stablelm.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 824d | | Open issues (now) | 1.1k | 28 | | Owner type | User | Organization | | Full report | [trust report](/tools/hiyouga-llamafactory/trust.md) | [trust report](/tools/stability-ai-stablelm/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; StableLM is Jupyter Notebook. - 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 StableLM if… - StableLM is primarily Jupyter Notebook; LlamaFactory is Python. - Tags unique to StableLM: jupyter notebook. - Also covers Vector Databases. ## 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 StableLM - Last GitHub push was 824 days ago (dormant maintenance, Apr 8, 2024). Validate activity before betting a new project on StableLM. - 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. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ## Common questions ### What is the difference between LlamaFactory and StableLM? LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. StableLM: StableLM: Stability AI Language Models. See the comparison table for live GitHub stats and shared categories. ### When should I choose LlamaFactory over StableLM? Choose LlamaFactory over StableLM when LlamaFactory is primarily Python; StableLM is Jupyter Notebook; 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 StableLM over LlamaFactory? Choose StableLM over LlamaFactory when StableLM is primarily Jupyter Notebook; LlamaFactory is Python; Tags unique to StableLM: jupyter notebook; Also covers Vector Databases. ### 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 StableLM? Last GitHub push was 824 days ago (dormant maintenance, Apr 8, 2024). Validate activity before betting a new project on StableLM. 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. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ### Is LlamaFactory or StableLM more popular on GitHub? LlamaFactory has more GitHub stars (73,157 vs 15,689). Stars measure visibility, not whether either tool fits your constraints. ### Are LlamaFactory and StableLM open source? Yes - both are open-source projects on GitHub (LlamaFactory: Apache-2.0, StableLM: Apache-2.0). ### Where can I find alternatives to LlamaFactory or StableLM? GraphCanon lists graph-backed alternatives at [LlamaFactory alternatives](/tools/hiyouga-llamafactory/alternatives) and [StableLM alternatives](/tools/stability-ai-stablelm/alternatives) ([LlamaFactory markdown twin](/tools/hiyouga-llamafactory/alternatives.md), [StableLM markdown twin](/tools/stability-ai-stablelm/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-stability-ai-stablelm.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, LlamaFactory or StableLM? LlamaFactory: Very active. StableLM: 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 StableLM? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [LlamaFactory trust report](/tools/hiyouga-llamafactory/trust); [StableLM trust report](/tools/stability-ai-stablelm/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/_