Comparison
LLMSys-PaperList vs LlamaFactory
Verdict
Pick LLMSys-PaperList if lLMSys-PaperList offers a comprehensive list of papers and resources tailored specifically to Large Language Model (LLM) systems; pick LlamaFactory if 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.
Markdown twin · LLMSys-PaperList alternatives · LlamaFactory alternatives
GraphCanon updated today
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Trust & integrity
| Signal | LLMSys-PaperList | LlamaFactory |
|---|---|---|
| Maintenance | Very active (1d since push) As of 1d · github_public_v1 | Very active (0d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1d · github_public_v1 | Not a fork · Personal account As of 1d · github_public_v1 |
| Security (OSV) | No lockfile As of 1d · none | No lockfile As of 1d · none |
Tagline
- LLMSys-PaperList
- Curated list of academic papers related to Large Language Model systems
- LlamaFactory
- Unified Efficient Fine-Tuning of 100+ LLMs & VLMs
Stars
- LLMSys-PaperList
- 2.2k
- LlamaFactory
- 73k
Forks
- LLMSys-PaperList
- 114
- LlamaFactory
- 8.9k
Open issues
- LLMSys-PaperList
- 0
- LlamaFactory
- 1.1k
Language
- LLMSys-PaperList
- -
- LlamaFactory
- Python
Adopt for
- LLMSys-PaperList
- LLMSys-PaperList offers a comprehensive list of papers and resources tailored specifically to Large Language Model (LLM) systems.
- 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.
Persona
- LLMSys-PaperList
- -
- LlamaFactory
- -
Runtime
- LLMSys-PaperList
- -
- LlamaFactory
- -
License
- LLMSys-PaperList
- (unknown)
- LlamaFactory
- Apache-2.0
Last pushed
- LLMSys-PaperList
- Jul 9, 2026
- LlamaFactory
- Jul 10, 2026
Categories
- LLMSys-PaperList
- Inference & Serving, LLM Frameworks, Model Training
- LlamaFactory
- LLM Frameworks, Model Training
Trust and health
Days since push
- LLMSys-PaperList
- 1d
- LlamaFactory
- 0d
Open issues (now)
- LLMSys-PaperList
- 0
- LlamaFactory
- 1.1k
Full report
- LLMSys-PaperList
- Trust report
- LlamaFactory
- Trust report
Choose LLMSys-PaperList if…
- (repository does not specify hosting environment)
- Tags unique to LLMSys-PaperList: academic-sources, framework-overview, inference-techniques, research papers.
- Also covers Inference & Serving.
- - When you need a curated list focusing on technical advancements in pre-training, post-training, serving, and multi-modal LLM systems.
When NOT to use LLMSys-PaperList
- - If you are looking for a general repository of machine learning papers rather than specific developments related to Large Language Models.
- - When your primary need is documentation or code examples rather than academic papers and project insights.
- - For applications where real-time updates and active community support are imperative, as LLMSys-PaperList primarily serves as a static list without user interaction features like commenting or liveＱ
Choose LlamaFactory if…
- 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 2.2k) - 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
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (AmberLJC/LLMSys-PaperList) · observed Jul 11, 2026
- GitHub forks (AmberLJC/LLMSys-PaperList) · observed Jul 11, 2026
- Last push (AmberLJC/LLMSys-PaperList) · observed Jul 9, 2026
- License file (unknown) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- 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 on cards: LLMSys-PaperList 2.2k · LlamaFactory 73k (synced Jul 11, 2026).
Common questions
- What is the difference between LLMSys-PaperList and LlamaFactory?
- LLMSys-PaperList: Curated list of academic papers related to Large Language Model systems. LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. See the comparison table for live GitHub stats and shared categories.
- When should I choose LLMSys-PaperList over LlamaFactory?
- Choose LLMSys-PaperList over LlamaFactory when (repository does not specify hosting environment); Tags unique to LLMSys-PaperList: academic-sources, framework-overview, inference-techniques, research papers; Also covers Inference & Serving; - When you need a curated list focusing on technical advancements in pre-training, post-training, serving, and multi-modal LLM systems.
- When should I choose LlamaFactory over LLMSys-PaperList?
- Choose LlamaFactory over LLMSys-PaperList 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 2.2k) - visibility, not fit.
- When should I avoid LLMSys-PaperList?
- - If you are looking for a general repository of machine learning papers rather than specific developments related to Large Language Models. - When your primary need is documentation or code examples rather than academic papers and project insights. - For applications where real-time updates and active community support are imperative, as LLMSys-PaperList primarily serves as a static list without user interaction features like commenting or liveＱ
- 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
- Is LLMSys-PaperList or LlamaFactory more popular on GitHub?
- LlamaFactory has more GitHub stars (73,157 vs 2,175). Stars measure visibility, not whether either tool fits your constraints.
- Are LLMSys-PaperList and LlamaFactory open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to LLMSys-PaperList or LlamaFactory?
- GraphCanon lists graph-backed alternatives at LLMSys-PaperList alternatives and LlamaFactory alternatives (LLMSys-PaperList 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, LLMSys-PaperList or LlamaFactory?
- LLMSys-PaperList: Very active. 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 LLMSys-PaperList and LlamaFactory?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LLMSys-PaperList trust report; LlamaFactory trust report.