Comparison
LlamaFactory vs unsloth
Verdict
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; pick unsloth if unsloth Studio provides a comprehensive web UI and code-based toolset, Unsloth Core, for training and deploying open-source language models locally. It supports a wide range of models including.
Markdown twin · LlamaFactory alternatives · unsloth alternatives
GraphCanon updated 2d
vs
Trust & integrity
| Signal | LlamaFactory | unsloth |
|---|---|---|
| Maintenance | Very active (2d since push) As of 2d · github_public_v1 | Very active (0d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 2d · github_public_v1 | Not a fork · Organization account As of 1w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- LlamaFactory
- Unified Efficient Fine-Tuning of 100+ LLMs & VLMs
- unsloth
- A web UI for training and running open models locally.
Stars
- LlamaFactory
- 74k
- unsloth
- 70k
Forks
- LlamaFactory
- 9.1k
- unsloth
- 6.3k
Open issues
- LlamaFactory
- 1.1k
- unsloth
- 1.0k
Language
- LlamaFactory
- Python
- unsloth
- 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.
- unsloth
- Unsloth Studio provides a comprehensive web UI and code-based toolset, Unsloth Core, for training and deploying open-source language models locally. It supports a wide range of models including Gemma, Qwen3.6, LLaMA, and
Persona
- LlamaFactory
- -
- unsloth
- -
Runtime
- LlamaFactory
- -
- unsloth
- -
License
- LlamaFactory
- Apache-2.0
- unsloth
- Apache-2.0
Last pushed
- LlamaFactory
- Aug 13, 2026
- unsloth
- Aug 6, 2026
Categories
- LlamaFactory
- LLM Frameworks, Model Training
- unsloth
- Developer Tools, Inference & Serving, Model Training
Trust and health
Days since push
- LlamaFactory
- 2d
- unsloth
- 0d
Open issues (now)
- LlamaFactory
- 1.1k
- unsloth
- 1.0k
Stars delta
- LlamaFactory
- +803 (30d)
- unsloth
- Unknown
Open issues delta
- LlamaFactory
- +39 (30d)
- unsloth
- Unknown
Owner type
- LlamaFactory
- User
- unsloth
- Organization
Full report
- LlamaFactory
- Trust report
- unsloth
- Trust report
Typed relationship
LlamaFactory alternative unslothBoth LlamaFactory and UnSloth aim at facilitating the execution of open-source models locally, but they approach it differently; LlamaFactory is focused on fine-tuning and optimization while UnSloth offers a web UI.
Choose LlamaFactory if…
- Both LlamaFactory and UnSloth aim at facilitating the execution of open-source models locally, but they approach it differently; LlamaFactory is focused on fine-tuning and optimization while UnSloth offers a web UI.
- Tags unique to LlamaFactory: ai, gpt, instruction-tuning, large language models.
- Also covers LLM Frameworks.
- 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 unsloth if…
- Requirements: Min 8 GB RAM; Ensure Python environment is set up correctly for both Studio and Core..
- Both LlamaFactory and UnSloth aim at facilitating the execution of open-source models locally, but they approach it differently; LlamaFactory is focused on fine-tuning and optimization while UnSloth offers a web UI.
- Tags unique to unsloth: gemma3, llama, mistral, openai.
- Also covers Developer Tools, Inference & Serving.
- You should use Unsloth if you need both fine-tuning capabilities and reinforcement learning functionalities on local infrastructure.
When NOT to use unsloth
- Avoid using Unsloth if your primary requirement is cloud-based deployment and management; this tool focuses on local machine capabilities.
- Do not use Unsloth Core or Studio if you do not have the necessary infrastructure to support running language models locally, especially if you lack GPU resources.
- If security is a paramount concern and you cannot tolerate any potential risks of exposing local services (even with HTTPS tunnels), a fully managed cloud-based service might be more appropriate than
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 Aug 16, 2026
- GitHub forks (hiyouga/LlamaFactory) · observed Aug 16, 2026
- Last push (hiyouga/LlamaFactory) · observed Aug 13, 2026
- License file (Apache-2.0) · observed Aug 16, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (unslothai/unsloth) · observed Aug 6, 2026
- GitHub forks (unslothai/unsloth) · observed Aug 6, 2026
- Last push (unslothai/unsloth) · observed Aug 6, 2026
- License file (Apache-2.0) · observed Aug 6, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: LlamaFactory 74k · unsloth 70k (synced Aug 16, 2026).
Common questions
- What is the difference between LlamaFactory and unsloth?
- LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. unsloth: A web UI for training and running open models locally.. See the comparison table for live GitHub stats and shared categories.
- When should I choose LlamaFactory over unsloth?
- Choose LlamaFactory over unsloth when Both LlamaFactory and UnSloth aim at facilitating the execution of open-source models locally, but they approach it differently; LlamaFactory is focused on fine-tuning and optimization while UnSloth offers a web UI; Tags unique to LlamaFactory: ai, gpt, instruction-tuning, large language models; Also covers LLM Frameworks; When you need to fine-tune over 100 different LLMs or VLMs with efficient methods like LoRA or QLoRA.
- When should I choose unsloth over LlamaFactory?
- Choose unsloth over LlamaFactory when Requirements: Min 8 GB RAM; Ensure Python environment is set up correctly for both Studio and Core.; Both LlamaFactory and UnSloth aim at facilitating the execution of open-source models locally, but they approach it differently; LlamaFactory is focused on fine-tuning and optimization while UnSloth offers a web UI; Tags unique to unsloth: gemma3, llama, mistral, openai; Also covers Developer Tools, Inference & Serving; You should use Unsloth if you need both fine-tuning capabilities and reinforcement learning functionalities on local infrastructure.
- 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 unsloth?
- Avoid using Unsloth if your primary requirement is cloud-based deployment and management; this tool focuses on local machine capabilities. Do not use Unsloth Core or Studio if you do not have the necessary infrastructure to support running language models locally, especially if you lack GPU resources. If security is a paramount concern and you cannot tolerate any potential risks of exposing local services (even with HTTPS tunnels), a fully managed cloud-based service might be more appropriate than
- Is LlamaFactory or unsloth more popular on GitHub?
- LlamaFactory has more GitHub stars (74,132 vs 69,621). Stars measure visibility, not whether either tool fits your constraints.
- Are LlamaFactory and unsloth open source?
- Yes - both are open-source projects on GitHub (LlamaFactory: Apache-2.0, unsloth: Apache-2.0).
- Where can I find alternatives to LlamaFactory or unsloth?
- GraphCanon lists graph-backed alternatives at LlamaFactory alternatives and unsloth alternatives (LlamaFactory markdown twin, unsloth 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 unsloth?
- LlamaFactory: Very active. unsloth: 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 unsloth?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LlamaFactory trust report; unsloth trust report.