Comparison
LlamaFactory vs ARES
Verdict
Pick LlamaFactory when tags unique to LlamaFactory: gemma, fine-tuning, deepseek, ai; pick ARES when tags unique to ARES: python.
Markdown twin · LlamaFactory alternatives · ARES alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | LlamaFactory | ARES |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Dormant (470d 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 | 154 low (154 low) As of today · osv@v1 |
Tagline
- LlamaFactory
- Unified Efficient Fine-Tuning of 100+ LLMs & VLMs
- ARES
- Automated Evaluation of RAG Systems
Stars
- LlamaFactory
- 73k
- ARES
- 724
Forks
- LlamaFactory
- 8.9k
- ARES
- 66
Open issues
- LlamaFactory
- 1.1k
- ARES
- 21
Language
- LlamaFactory
- Python
- ARES
- 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.
- ARES
- -
Persona
- LlamaFactory
- -
- ARES
- -
Runtime
- LlamaFactory
- -
- ARES
- -
License
- LlamaFactory
- Apache-2.0
- ARES
- Apache-2.0
Last pushed
- LlamaFactory
- Jul 10, 2026
- ARES
- Mar 28, 2025
Categories
- LlamaFactory
- LLM Frameworks, Model Training
- ARES
- Model Training, LLM Frameworks, Vector Databases
Trust and health
Maintenance
- LlamaFactory
- Very active (96%)
- ARES
- Dormant (18%)
Days since push
- LlamaFactory
- 0d
- ARES
- 470d
Open issues (now)
- LlamaFactory
- 1.1k
- ARES
- 21
Owner type
- LlamaFactory
- User
- ARES
- Organization
Security scan
- LlamaFactory
- No lockfile
- ARES
- 154 low (154 low)
Full report
- LlamaFactory
- Trust report
- ARES
- 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 724) - 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 ARES if…
- Tags unique to ARES: python.
- Also covers Vector Databases.
- Leaner open-issue backlog (21).
When NOT to use ARES
- Last GitHub push was 470 days ago (dormant maintenance, Mar 28, 2025). Validate activity before betting a new project on ARES.
- 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.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
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 (stanford-futuredata/ARES) · observed Jul 11, 2026
- GitHub forks (stanford-futuredata/ARES) · observed Jul 11, 2026
- Last push (stanford-futuredata/ARES) · observed Mar 28, 2025
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: LlamaFactory 73k · ARES 724 (synced Jul 11, 2026).
Common questions
- What is the difference between LlamaFactory and ARES?
- LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. ARES: Automated Evaluation of RAG Systems. See the comparison table for live GitHub stats and shared categories.
- When should I choose LlamaFactory over ARES?
- Choose LlamaFactory over ARES 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 724) - visibility, not fit.
- When should I choose ARES over LlamaFactory?
- Choose ARES over LlamaFactory when Tags unique to ARES: python; Also covers Vector Databases; Leaner open-issue backlog (21).
- 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 ARES?
- Last GitHub push was 470 days ago (dormant maintenance, Mar 28, 2025). Validate activity before betting a new project on ARES. 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. 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 ARES more popular on GitHub?
- LlamaFactory has more GitHub stars (73,157 vs 724). Stars measure visibility, not whether either tool fits your constraints.
- Are LlamaFactory and ARES open source?
- Yes - both are open-source projects on GitHub (LlamaFactory: Apache-2.0, ARES: Apache-2.0).
- Where can I find alternatives to LlamaFactory or ARES?
- GraphCanon lists graph-backed alternatives at LlamaFactory alternatives and ARES alternatives (LlamaFactory markdown twin, ARES 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 ARES?
- LlamaFactory: Very active. ARES: 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 ARES?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LlamaFactory trust report; ARES trust report.