Comparison
LlamaFactory vs sarathi-serve
Verdict
Pick LlamaFactory when tags unique to LlamaFactory: gemma, fine-tuning, deepseek, ai; pick sarathi-serve when tags unique to sarathi-serve: llama, python, transformer, llm-inference.
Markdown twin · LlamaFactory alternatives · sarathi-serve alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | LlamaFactory | sarathi-serve |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Slowing (184d 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
- sarathi-serve
- A low-latency & high-throughput serving engine for LLMs
Stars
- LlamaFactory
- 73k
- sarathi-serve
- 509
Forks
- LlamaFactory
- 8.9k
- sarathi-serve
- 64
Open issues
- LlamaFactory
- 1.1k
- sarathi-serve
- 16
Language
- LlamaFactory
- Python
- sarathi-serve
- 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.
- sarathi-serve
- -
Persona
- LlamaFactory
- -
- sarathi-serve
- -
Runtime
- LlamaFactory
- -
- sarathi-serve
- -
License
- LlamaFactory
- Apache-2.0
- sarathi-serve
- Apache-2.0
Last pushed
- LlamaFactory
- Jul 10, 2026
- sarathi-serve
- Jan 8, 2026
Categories
- LlamaFactory
- LLM Frameworks, Model Training
- sarathi-serve
- LLM Frameworks, Model Training, Inference & Serving
Trust and health
Maintenance
- LlamaFactory
- Very active (96%)
- sarathi-serve
- Slowing (36%)
Days since push
- LlamaFactory
- 0d
- sarathi-serve
- 184d
Open issues (now)
- LlamaFactory
- 1.1k
- sarathi-serve
- 16
Owner type
- LlamaFactory
- User
- sarathi-serve
- Organization
Full report
- LlamaFactory
- Trust report
- sarathi-serve
- 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 509) - 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 sarathi-serve if…
- Tags unique to sarathi-serve: llama, python, transformer, llm-inference.
- Also covers Inference & Serving.
- Leaner open-issue backlog (16).
When NOT to use sarathi-serve
- Last GitHub push was 185 days ago (slowing maintenance, Jan 8, 2026). Validate activity before betting a new project on sarathi-serve.
- 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.
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
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 (microsoft/sarathi-serve) · observed Jul 11, 2026
- GitHub forks (microsoft/sarathi-serve) · observed Jul 11, 2026
- Last push (microsoft/sarathi-serve) · observed Jan 8, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: LlamaFactory 73k · sarathi-serve 509 (synced Jul 11, 2026).
Common questions
- What is the difference between LlamaFactory and sarathi-serve?
- LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. sarathi-serve: A low-latency & high-throughput serving engine for LLMs. See the comparison table for live GitHub stats and shared categories.
- When should I choose LlamaFactory over sarathi-serve?
- Choose LlamaFactory over sarathi-serve 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 509) - visibility, not fit.
- When should I choose sarathi-serve over LlamaFactory?
- Choose sarathi-serve over LlamaFactory when Tags unique to sarathi-serve: llama, python, transformer, llm-inference; Also covers Inference & Serving; Leaner open-issue backlog (16).
- 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 sarathi-serve?
- Last GitHub push was 185 days ago (slowing maintenance, Jan 8, 2026). Validate activity before betting a new project on sarathi-serve. 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. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- Is LlamaFactory or sarathi-serve more popular on GitHub?
- LlamaFactory has more GitHub stars (73,157 vs 509). Stars measure visibility, not whether either tool fits your constraints.
- Are LlamaFactory and sarathi-serve open source?
- Yes - both are open-source projects on GitHub (LlamaFactory: Apache-2.0, sarathi-serve: Apache-2.0).
- Where can I find alternatives to LlamaFactory or sarathi-serve?
- GraphCanon lists graph-backed alternatives at LlamaFactory alternatives and sarathi-serve alternatives (LlamaFactory markdown twin, sarathi-serve 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 sarathi-serve?
- LlamaFactory: Very active. sarathi-serve: Slowing. 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 sarathi-serve?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LlamaFactory trust report; sarathi-serve trust report.