Comparison
LlamaFactory vs OpenRath
Verdict
Pick LlamaFactory when license: LlamaFactory is Apache-2.0, OpenRath is BSD-3-Clause; pick OpenRath when license: OpenRath is BSD-3-Clause, LlamaFactory is Apache-2.0.
Markdown twin · LlamaFactory alternatives · OpenRath alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | LlamaFactory | OpenRath |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Very active (3d 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
- OpenRath
- An open-source, PyTorch-like runtime for dynamic multi-agent and multi-session workflows.
Stars
- LlamaFactory
- 73k
- OpenRath
- 1.1k
Forks
- LlamaFactory
- 8.9k
- OpenRath
- 48
Open issues
- LlamaFactory
- 1.1k
- OpenRath
- 1
Language
- LlamaFactory
- Python
- OpenRath
- 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.
- OpenRath
- -
Persona
- LlamaFactory
- -
- OpenRath
- -
Runtime
- LlamaFactory
- -
- OpenRath
- -
License
- LlamaFactory
- Apache-2.0
- OpenRath
- BSD-3-Clause
Last pushed
- LlamaFactory
- Jul 10, 2026
- OpenRath
- Jul 8, 2026
Categories
- LlamaFactory
- LLM Frameworks, Model Training
- OpenRath
- Model Training, AI Agents, LLM Frameworks
Trust and health
Days since push
- LlamaFactory
- 0d
- OpenRath
- 3d
Open issues (now)
- LlamaFactory
- 1.1k
- OpenRath
- 1
Owner type
- LlamaFactory
- User
- OpenRath
- Organization
Full report
- LlamaFactory
- Trust report
- OpenRath
- Trust report
Choose LlamaFactory if…
- License: LlamaFactory is Apache-2.0, OpenRath is BSD-3-Clause.
- 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 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 OpenRath if…
- License: OpenRath is BSD-3-Clause, LlamaFactory is Apache-2.0.
- Tags unique to OpenRath: memory, lllm-agent, llm, model-context-protocol.
- Also covers AI Agents.
When NOT to use OpenRath
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
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 (Rath-Team/OpenRath) · observed Jul 11, 2026
- GitHub forks (Rath-Team/OpenRath) · observed Jul 11, 2026
- Last push (Rath-Team/OpenRath) · observed Jul 8, 2026
- License file (BSD-3-Clause) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: LlamaFactory 73k · OpenRath 1.1k (synced Jul 11, 2026).
Common questions
- What is the difference between LlamaFactory and OpenRath?
- LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. OpenRath: An open-source, PyTorch-like runtime for dynamic multi-agent and multi-session workflows.. See the comparison table for live GitHub stats and shared categories.
- When should I choose LlamaFactory over OpenRath?
- Choose LlamaFactory over OpenRath when License: LlamaFactory is Apache-2.0, OpenRath is BSD-3-Clause; 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 OpenRath over LlamaFactory?
- Choose OpenRath over LlamaFactory when License: OpenRath is BSD-3-Clause, LlamaFactory is Apache-2.0; Tags unique to OpenRath: memory, lllm-agent, llm, model-context-protocol; 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 OpenRath?
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Is LlamaFactory or OpenRath more popular on GitHub?
- LlamaFactory has more GitHub stars (73,157 vs 1,084). Stars measure visibility, not whether either tool fits your constraints.
- Are LlamaFactory and OpenRath open source?
- Yes - both are open-source projects on GitHub (LlamaFactory: Apache-2.0, OpenRath: BSD-3-Clause).
- Where can I find alternatives to LlamaFactory or OpenRath?
- GraphCanon lists graph-backed alternatives at LlamaFactory alternatives and OpenRath alternatives (LlamaFactory markdown twin, OpenRath 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 OpenRath?
- LlamaFactory: Very active. OpenRath: 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 OpenRath?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LlamaFactory trust report; OpenRath trust report.