LlamaFactory vs aqueduct

Common questions

What is the difference between LlamaFactory and aqueduct?

LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. aqueduct: Aqueduct is no longer being maintained. Aqueduct allows you to run LLM and ML workloads on any cloud infrastructure.. See the comparison table for live GitHub stats and shared categories.

When should I choose LlamaFactory over aqueduct?

Choose LlamaFactory over aqueduct when LlamaFactory is primarily Python; aqueduct is Go; Tags unique to LlamaFactory: gemma, fine-tuning, deepseek, instruction-tuning; When you need to fine-tune over 100 different LLMs or VLMs with efficient methods like LoRA or QLoRA.

When should I choose aqueduct over LlamaFactory?

Choose aqueduct over LlamaFactory when aqueduct is primarily Go; LlamaFactory is Python; Tags unique to aqueduct: data-science, ml, llms, llm; Also covers AI Agents.

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 aqueduct?

Last GitHub push was 1130 days ago (dormant maintenance, Jun 7, 2023). Validate activity before betting a new project on aqueduct. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.

Is LlamaFactory or aqueduct more popular on GitHub?

LlamaFactory has more GitHub stars (73,157 vs 517). Stars measure visibility, not whether either tool fits your constraints.

Are LlamaFactory and aqueduct open source?

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

Where can I find alternatives to LlamaFactory or aqueduct?

GraphCanon lists graph-backed alternatives at LlamaFactory alternatives and aqueduct alternatives (LlamaFactory markdown twin, aqueduct 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, LlamaFactory or aqueduct?

LlamaFactory: Very active. aqueduct: 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 aqueduct?

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