--- title: "LlamaFactory vs OpenCoder-llm" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/hiyouga-llamafactory-vs-opencoder-llm-opencoder-llm" tools: ["hiyouga-llamafactory", "opencoder-llm-opencoder-llm"] --- # LlamaFactory vs OpenCoder-llm *GraphCanon updated Jul 11, 2026* ## Verdict Pick LlamaFactory when license: LlamaFactory is Apache-2.0, OpenCoder-llm is MIT; pick OpenCoder-llm when license: OpenCoder-llm is MIT, LlamaFactory is Apache-2.0. [LlamaFactory](https://llamafactory.readthedocs.io) reports 73k GitHub stars, 8.9k forks, and 1.1k open issues, last pushed Jul 10, 2026. [OpenCoder-llm](https://opencoder-llm.github.io/) has 2.1k stars, 125 forks, and 11 open issues, last pushed Dec 8, 2024. Figures are from public GitHub metadata via [LlamaFactory's repository](https://github.com/hiyouga/LlamaFactory) and [OpenCoder-llm's repository](https://github.com/OpenCoder-llm/OpenCoder-llm). | | [LlamaFactory](/tools/hiyouga-llamafactory.md) | [OpenCoder-llm](/tools/opencoder-llm-opencoder-llm.md) | | --- | --- | --- | | Tagline | Unified Efficient Fine-Tuning of 100+ LLMs & VLMs | The Open Cookbook for Top-Tier Code Large Language Model | | Stars | 73,157 | 2,091 | | Forks | 8,937 | 125 | | Open issues | 1,067 | 11 | | 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 | MIT | | Categories | Model Training, LLM Frameworks | LLM Frameworks, Model Training, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [LlamaFactory](/tools/hiyouga-llamafactory.md) | [OpenCoder-llm](/tools/opencoder-llm-opencoder-llm.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 580d | | Open issues (now) | 1.1k | 11 | | Full report | [trust report](/tools/hiyouga-llamafactory/trust.md) | [trust report](/tools/opencoder-llm-opencoder-llm/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… - License: LlamaFactory is Apache-2.0, OpenCoder-llm is MIT. - 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. ### Choose OpenCoder-llm if… - License: OpenCoder-llm is MIT, LlamaFactory is Apache-2.0. - Tags unique to OpenCoder-llm: python. - 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 OpenCoder-llm - Last GitHub push was 580 days ago (dormant maintenance, Dec 8, 2024). Validate activity before betting a new project on OpenCoder-llm. - 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 OpenCoder-llm? LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. OpenCoder-llm: The Open Cookbook for Top-Tier Code Large Language Model. See the comparison table for live GitHub stats and shared categories. ### When should I choose LlamaFactory over OpenCoder-llm? Choose LlamaFactory over OpenCoder-llm when License: LlamaFactory is Apache-2.0, OpenCoder-llm is MIT; 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. ### When should I choose OpenCoder-llm over LlamaFactory? Choose OpenCoder-llm over LlamaFactory when License: OpenCoder-llm is MIT, LlamaFactory is Apache-2.0; Tags unique to OpenCoder-llm: python; 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 OpenCoder-llm? Last GitHub push was 580 days ago (dormant maintenance, Dec 8, 2024). Validate activity before betting a new project on OpenCoder-llm. 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 OpenCoder-llm more popular on GitHub? LlamaFactory has more GitHub stars (73,157 vs 2,091). Stars measure visibility, not whether either tool fits your constraints. ### Are LlamaFactory and OpenCoder-llm open source? Yes - both are open-source projects on GitHub (LlamaFactory: Apache-2.0, OpenCoder-llm: MIT). ### Where can I find alternatives to LlamaFactory or OpenCoder-llm? GraphCanon lists graph-backed alternatives at [LlamaFactory alternatives](/tools/hiyouga-llamafactory/alternatives) and [OpenCoder-llm alternatives](/tools/opencoder-llm-opencoder-llm/alternatives) ([LlamaFactory markdown twin](/tools/hiyouga-llamafactory/alternatives.md), [OpenCoder-llm markdown twin](/tools/opencoder-llm-opencoder-llm/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-opencoder-llm-opencoder-llm.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, LlamaFactory or OpenCoder-llm? LlamaFactory: Very active. OpenCoder-llm: 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 OpenCoder-llm? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [LlamaFactory trust report](/tools/hiyouga-llamafactory/trust); [OpenCoder-llm trust report](/tools/opencoder-llm-opencoder-llm/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/_