Comparison
LlamaFactory vs AI-Compass
Verdict
Pick LlamaFactory if llamaFactory is a Python-based tool for efficient fine-tuning of over 100 large language models and vision-language models, supporting various methods like LoRA, QLoRA, and quantization; pick AI-Compass if aI-Compass offers comprehensive guidance on AI concepts and technologies for developers at all levels, focusing on practical application from theory to implementation.
Markdown twin · LlamaFactory alternatives · AI-Compass alternatives
GraphCanon updated Sep 20, 2026
8views this month
vs
Trust & integrity
| Signal | LlamaFactory | AI-Compass |
|---|---|---|
| Maintenance | Very active (4d since push) As of Sep 18, 2026 · github_public_v1 | Very active (0d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 18, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · 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
- AI-Compass
- Guides developers through AI concepts, technologies, and practical applications
Stars
- LlamaFactory
- 75k
- AI-Compass
- 949
Forks
- LlamaFactory
- 9.2k
- AI-Compass
- 127
Open issues
- LlamaFactory
- 1.2k
- AI-Compass
- 0
Language
- LlamaFactory
- Python
- AI-Compass
- Python
Adopt for
- LlamaFactory
- LlamaFactory is a Python-based tool for efficient fine-tuning of over 100 large language models and vision-language models, supporting various methods like LoRA, QLoRA, and quantization.
- AI-Compass
- AI-Compass offers comprehensive guidance on AI concepts and technologies for developers at all levels, focusing on practical application from theory to implementation.
Persona
- LlamaFactory
- -
- AI-Compass
- -
Runtime
- LlamaFactory
- -
- AI-Compass
- -
License
- LlamaFactory
- Apache-2.0
- AI-Compass
- -
Last pushed
- LlamaFactory
- Sep 14, 2026
- AI-Compass
- Sep 20, 2026
Categories
- LlamaFactory
- LLM Frameworks, Model Training
- AI-Compass
- Inference & Serving, LLM Frameworks, Model Training
Trust and health
Days since push
- LlamaFactory
- 4d
- AI-Compass
- 0d
Open issues (now)
- LlamaFactory
- 1.2k
- AI-Compass
- 0
Stars delta
- LlamaFactory
- +717 (30d)
- AI-Compass
- +72 (30d)
Open issues delta
- LlamaFactory
- +43 (30d)
- AI-Compass
- -4 (30d)
Full report
- LlamaFactory
- Trust report
- AI-Compass
- Trust report
Shared compatibility
- Python · LlamaFactory: Python runtime · AI-Compass: Python runtime
Choose LlamaFactory if…
- Requirements: Min 4 GB RAM; Requires Docker; Hardware requirements vary based on the method and model size. For example, full fine-tuning of a 7B model requires 120GB of memory, while QLoRA with 2-bit can ; Installation is mandatory and can be done from source or via Docker. Additional dependencies like `metrics` and `deepspeed` are optional.; For Windows users, manual installation of PyTorch with CUDA support is required, and bitsandbytes must be installed for QLoRA support..
- Tags unique to LlamaFactory: deepseek, fine-tuning, gpt, instruction-tuning.
- Use LlamaFactory when you need to fine-tune a wide range of large language models and vision-language models with methods like LoRA, QLoRA, and quantization.
When NOT to use LlamaFactory
- Avoid LlamaFactory if you are working with models not included in its supported list of over 100 models, as it may not provide the necessary fine-tuning capabilities.
- Do not use LlamaFactory if you are working in an environment where Python or specific dependencies like PyTorch and bitsandbytes cannot be installed or are not supported.
- LlamaFactory may not be suitable if you require real-time or near-real-time fine-tuning capabilities, as the setup and installation process can be complex and time-consuming.
Choose AI-Compass if…
- Pricing: The pricing model for AI-Compass is not specified in the repository data provided..
- Requirements: Developers will need a basic understanding of Python to take full advantage of the resources offered by AI-Compass.; The exact system requirements are not provided in the repository data..
- Tags unique to AI-Compass: llm, nlp, rl, rlhf.
- Also covers Inference & Serving.
- When you require detailed, systematic learning resources that cover both basic and advanced AI topics.
When NOT to use AI-Compass
- Avoid if you are looking for a tool that focuses solely on hands-on project work without an emphasis on understanding underlying concepts.
- Not recommended if you prefer more specialized tools that cater strictly either to beginners or advanced developers, rather than serving both audiences cohesively.
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 Sep 20, 2026
- GitHub forks (hiyouga/LlamaFactory) · observed Sep 20, 2026
- Last push (hiyouga/LlamaFactory) · observed Sep 14, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (tingaicompass/AI-Compass) · observed Sep 20, 2026
- GitHub forks (tingaicompass/AI-Compass) · observed Sep 20, 2026
- Last push (tingaicompass/AI-Compass) · observed Sep 20, 2026
- License file (unknown) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: LlamaFactory 75k · AI-Compass 949 (synced Sep 20, 2026).
Common questions
- What is the difference between LlamaFactory and AI-Compass?
- LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. AI-Compass: Guides developers through AI concepts, technologies, and practical applications. See the comparison table for live GitHub stats and shared categories.
- When should I choose LlamaFactory over AI-Compass?
- Choose LlamaFactory over AI-Compass when Requirements: Min 4 GB RAM; Requires Docker; Hardware requirements vary based on the method and model size. For example, full fine-tuning of a 7B model requires 120GB of memory, while QLoRA with 2-bit can ; Installation is mandatory and can be done from source or via Docker. Additional dependencies like
metricsanddeepspeedare optional.; For Windows users, manual installation of PyTorch with CUDA support is required, and bitsandbytes must be installed for QLoRA support.; Tags unique to LlamaFactory: deepseek, fine-tuning, gpt, instruction-tuning; Use LlamaFactory when you need to fine-tune a wide range of large language models and vision-language models with methods like LoRA, QLoRA, and quantization. - When should I choose AI-Compass over LlamaFactory?
- Choose AI-Compass over LlamaFactory when Pricing: The pricing model for AI-Compass is not specified in the repository data provided.; Requirements: Developers will need a basic understanding of Python to take full advantage of the resources offered by AI-Compass.; The exact system requirements are not provided in the repository data.; Tags unique to AI-Compass: llm, nlp, rl, rlhf; Also covers Inference & Serving; When you require detailed, systematic learning resources that cover both basic and advanced AI topics.
- When should I avoid LlamaFactory?
- Avoid LlamaFactory if you are working with models not included in its supported list of over 100 models, as it may not provide the necessary fine-tuning capabilities. Do not use LlamaFactory if you are working in an environment where Python or specific dependencies like PyTorch and bitsandbytes cannot be installed or are not supported. LlamaFactory may not be suitable if you require real-time or near-real-time fine-tuning capabilities, as the setup and installation process can be complex and time-consuming.
- When should I avoid AI-Compass?
- Avoid if you are looking for a tool that focuses solely on hands-on project work without an emphasis on understanding underlying concepts. Not recommended if you prefer more specialized tools that cater strictly either to beginners or advanced developers, rather than serving both audiences cohesively.
- Is LlamaFactory or AI-Compass more popular on GitHub?
- LlamaFactory has more GitHub stars (74,849 vs 949). Stars measure visibility, not whether either tool fits your constraints.
- Are LlamaFactory and AI-Compass open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to LlamaFactory or AI-Compass?
- GraphCanon lists graph-backed alternatives at LlamaFactory alternatives and AI-Compass alternatives (LlamaFactory markdown twin, AI-Compass 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 AI-Compass?
- LlamaFactory: Very active. AI-Compass: 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 AI-Compass?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LlamaFactory trust report; AI-Compass trust report.