Comparison
LlamaFactory vs lagent
Verdict
Pick LlamaFactory when tags unique to LlamaFactory: gemma, fine-tuning, deepseek, ai; pick lagent when tags unique to lagent: llm, python, transformers.
Markdown twin · LlamaFactory alternatives · lagent alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | LlamaFactory | lagent |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Very active (5d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No lockfile As of today · none |
Tagline
- LlamaFactory
- Unified Efficient Fine-Tuning of 100+ LLMs & VLMs
- lagent
- A lightweight framework for building LLM-based agents
Stars
- LlamaFactory
- 73k
- lagent
- 2.3k
Forks
- LlamaFactory
- 8.9k
- lagent
- 236
Open issues
- LlamaFactory
- 1.1k
- lagent
- 23
Language
- LlamaFactory
- Python
- lagent
- Python
Adopt for
- LlamaFactory
- 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.
- lagent
- -
Persona
- LlamaFactory
- -
- lagent
- -
Runtime
- LlamaFactory
- -
- lagent
- -
License
- LlamaFactory
- Apache-2.0
- lagent
- Apache-2.0
Last pushed
- LlamaFactory
- Jul 10, 2026
- lagent
- Jul 6, 2026
Categories
- LlamaFactory
- LLM Frameworks, Model Training
- lagent
- Model Training, LLM Frameworks, AI Agents
Trust and health
Days since push
- LlamaFactory
- 0d
- lagent
- 5d
Open issues (now)
- LlamaFactory
- 1.1k
- lagent
- 23
Owner type
- LlamaFactory
- User
- lagent
- Organization
Full report
- LlamaFactory
- Trust report
- lagent
- Trust report
Choose LlamaFactory if…
- 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.
- More GitHub stars (73k vs 2.3k) - visibility, not fit.
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
Choose lagent if…
- Tags unique to lagent: llm, python, transformers.
- Also covers AI Agents.
- Leaner open-issue backlog (23).
When NOT to use lagent
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (hiyouga/LlamaFactory) · observed Jul 11, 2026
- GitHub forks (hiyouga/LlamaFactory) · observed Jul 11, 2026
- Last push (hiyouga/LlamaFactory) · observed Jul 10, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (InternLM/lagent) · observed Jul 11, 2026
- GitHub forks (InternLM/lagent) · observed Jul 11, 2026
- Last push (InternLM/lagent) · observed Jul 6, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: LlamaFactory 73k · lagent 2.3k (synced Jul 11, 2026).
Common questions
- What is the difference between LlamaFactory and lagent?
- LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. lagent: A lightweight framework for building LLM-based agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose LlamaFactory over lagent?
- Choose LlamaFactory over lagent when 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; More GitHub stars (73k vs 2.3k) - visibility, not fit.
- When should I choose lagent over LlamaFactory?
- Choose lagent over LlamaFactory when Tags unique to lagent: llm, python, transformers; Also covers AI Agents; Leaner open-issue backlog (23).
- 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 lagent?
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. 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.
- Is LlamaFactory or lagent more popular on GitHub?
- LlamaFactory has more GitHub stars (73,157 vs 2,268). Stars measure visibility, not whether either tool fits your constraints.
- Are LlamaFactory and lagent open source?
- Yes - both are open-source projects on GitHub (LlamaFactory: Apache-2.0, lagent: Apache-2.0).
- Where can I find alternatives to LlamaFactory or lagent?
- GraphCanon lists graph-backed alternatives at LlamaFactory alternatives and lagent alternatives (LlamaFactory markdown twin, lagent 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 lagent?
- LlamaFactory: Very active. lagent: 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 LlamaFactory and lagent?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LlamaFactory trust report; lagent trust report.