FlagAI vs LlamaFactory

Common questions

What is the difference between FlagAI and LlamaFactory?

FlagAI: Fast, easy-to-use framework for large-scale AI models.. LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. See the comparison table for live GitHub stats and shared categories.

When should I choose FlagAI over LlamaFactory?

Choose FlagAI over LlamaFactory when Tags unique to FlagAI: extensible, fast, large-scale models; FlagAI ships Docker support for self-hosted deployment; When you prioritize speed and extensibility during the development of large-scale AI models with a focus on easy-to-use interfaces.

When should I choose LlamaFactory over FlagAI?

Choose LlamaFactory over FlagAI when Requirements: Min 4 GB RAM; Requires Docker; Hardware requirements vary based on the method and model size. For example, full fine-tuning of a 7B model requires 120GB of memory, while QLoRA with 2-bit can ; Installation is mandatory and can be done from source or via Docker. Additional dependencies like metrics and deepspeed are optional.; For Windows users, manual installation of PyTorch with CUDA support is required, and bitsandbytes must be installed for QLoRA support.; Tags unique to LlamaFactory: agent, ai, deepseek, fine-tuning; Use LlamaFactory when you need to fine-tune a wide range of large language models and vision-language models with methods like LoRA, QLoRA, and quantization.

When should I avoid FlagAI?

If your project necessitates a deep level of customization that might not be supported by FlagAI's framework. If you are working with smaller datasets, the overhead provided by FlagAI’s scalability features could be unnecessary and potentially inefficient.

When should I avoid LlamaFactory?

Avoid LlamaFactory if you are working with models not included in its supported list of over 100 models, as it may not provide the necessary fine-tuning capabilities. Do not use LlamaFactory if you are working in an environment where Python or specific dependencies like PyTorch and bitsandbytes cannot be installed or are not supported. LlamaFactory may not be suitable if you require real-time or near-real-time fine-tuning capabilities, as the setup and installation process can be complex and time-consuming.

Is FlagAI or LlamaFactory more popular on GitHub?

LlamaFactory has more GitHub stars (74,849 vs 3,870). Stars measure visibility, not whether either tool fits your constraints.

Are FlagAI and LlamaFactory open source?

Yes - both are open-source projects on GitHub (FlagAI: Apache-2.0, LlamaFactory: Apache-2.0).

Where can I find alternatives to FlagAI or LlamaFactory?

GraphCanon lists graph-backed alternatives at FlagAI alternatives and LlamaFactory alternatives (FlagAI markdown twin, LlamaFactory markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

Which is better maintained, FlagAI or LlamaFactory?

FlagAI: Steady. 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 FlagAI and LlamaFactory?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: FlagAI trust report; LlamaFactory trust report.