LlamaFactory vs stanford_alpaca

Common questions

What is the difference between LlamaFactory and stanford_alpaca?

LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. stanford_alpaca: Code and documentation to train Stanford's Alpaca models, and generate the data.. See the comparison table for live GitHub stats and shared categories.

When should I choose LlamaFactory over stanford_alpaca?

Choose LlamaFactory over stanford_alpaca 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 30k) - visibility, not fit.

When should I choose stanford_alpaca over LlamaFactory?

Choose stanford_alpaca over LlamaFactory when Tags unique to stanford_alpaca: deep-learning, instruction-following, language-model, python; Also covers Vector Databases; Leaner open-issue backlog (188).

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 stanford_alpaca?

Last GitHub push was 725 days ago (dormant maintenance, Jul 17, 2024). Validate activity before betting a new project on stanford_alpaca. 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 stanford_alpaca more popular on GitHub?

LlamaFactory has more GitHub stars (73,157 vs 30,250). Stars measure visibility, not whether either tool fits your constraints.

Are LlamaFactory and stanford_alpaca open source?

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

Where can I find alternatives to LlamaFactory or stanford_alpaca?

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

LlamaFactory: Very active. stanford_alpaca: 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 stanford_alpaca?

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