Comparison
LLM-RL-Visualized vs LlamaFactory
Verdict
Pick LLM-RL-Visualized if lLM-RL-Visualized offers over 100 diagrams for understanding LLM, RL algorithms, and training methods including SFT, DPO and optimization techniques; 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.
Markdown twin · LLM-RL-Visualized alternatives · LlamaFactory alternatives
GraphCanon updated Sep 20, 2026
20views this month
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Trust & integrity
| Signal | LLM-RL-Visualized | LlamaFactory |
|---|---|---|
| Maintenance | Active (9d since push) As of Sep 7, 2026 · github_public_v1 | Very active (4d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 7, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Sep 18, 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
- LLM-RL-Visualized
- Provides over 100 diagrams illustrating LLM and RL algorithms
- LlamaFactory
- Unified Efficient Fine-Tuning of 100+ LLMs & VLMs
Stars
- LLM-RL-Visualized
- 4.9k
- LlamaFactory
- 75k
Forks
- LLM-RL-Visualized
- 468
- LlamaFactory
- 9.2k
Open issues
- LLM-RL-Visualized
- 3
- LlamaFactory
- 1.2k
Language
- LLM-RL-Visualized
- Python
- LlamaFactory
- Python
Adopt for
- LLM-RL-Visualized
- LLM-RL-Visualized offers over 100 diagrams for understanding LLM, RL algorithms, and training methods including SFT, DPO and optimization techniques.
- 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.
Persona
- LLM-RL-Visualized
- -
- LlamaFactory
- -
Runtime
- LLM-RL-Visualized
- -
- LlamaFactory
- -
License
- LLM-RL-Visualized
- Other
- LlamaFactory
- Apache-2.0
Last pushed
- LLM-RL-Visualized
- Aug 29, 2026
- LlamaFactory
- Sep 14, 2026
Categories
- LLM-RL-Visualized
- LLM Frameworks, Model Training
- LlamaFactory
- LLM Frameworks, Model Training
Trust and health
Maintenance
- LLM-RL-Visualized
- Active (82%)
- LlamaFactory
- Very active (96%)
Days since push
- LLM-RL-Visualized
- 9d
- LlamaFactory
- 4d
Open issues (now)
- LLM-RL-Visualized
- 3
- LlamaFactory
- 1.2k
Stars delta
- LLM-RL-Visualized
- +108 (30d)
- LlamaFactory
- +717 (30d)
Open issues delta
- LLM-RL-Visualized
- 0 (30d)
- LlamaFactory
- +43 (30d)
Full report
- LLM-RL-Visualized
- Trust report
- LlamaFactory
- Trust report
Choose LLM-RL-Visualized if…
- License: LLM-RL-Visualized is Other, LlamaFactory is Apache-2.0.
- Tags unique to LLM-RL-Visualized: algorithm, deep-learning, llm, machine-learning.
- When detailed visual explanations of LLM and RL algorithms are needed
When NOT to use LLM-RL-Visualized
- If looking for executable code or tools rather than diagrams and visual explanations alone
- For datasets or large-scale experimental setups that require more interactive coding environments
Choose LlamaFactory if…
- License: LlamaFactory is Apache-2.0, LLM-RL-Visualized is Other.
- 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: agent, deepseek, fine-tuning, gpt.
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (changyeyu/LLM-RL-Visualized) · observed Sep 20, 2026
- GitHub forks (changyeyu/LLM-RL-Visualized) · observed Sep 20, 2026
- Last push (changyeyu/LLM-RL-Visualized) · observed Aug 29, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- 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 on cards: LLM-RL-Visualized 4.9k · LlamaFactory 75k (synced Sep 20, 2026).
Common questions
- What is the difference between LLM-RL-Visualized and LlamaFactory?
- LLM-RL-Visualized: Provides over 100 diagrams illustrating LLM and RL algorithms. LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. See the comparison table for live GitHub stats and shared categories.
- When should I choose LLM-RL-Visualized over LlamaFactory?
- Choose LLM-RL-Visualized over LlamaFactory when License: LLM-RL-Visualized is Other, LlamaFactory is Apache-2.0; Tags unique to LLM-RL-Visualized: algorithm, deep-learning, llm, machine-learning; When detailed visual explanations of LLM and RL algorithms are needed.
- When should I choose LlamaFactory over LLM-RL-Visualized?
- Choose LlamaFactory over LLM-RL-Visualized when License: LlamaFactory is Apache-2.0, LLM-RL-Visualized is Other; 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: agent, deepseek, fine-tuning, gpt; 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 avoid LLM-RL-Visualized?
- If looking for executable code or tools rather than diagrams and visual explanations alone For datasets or large-scale experimental setups that require more interactive coding environments
- 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.
- Is LLM-RL-Visualized or LlamaFactory more popular on GitHub?
- LlamaFactory has more GitHub stars (74,849 vs 4,858). Stars measure visibility, not whether either tool fits your constraints.
- Are LLM-RL-Visualized and LlamaFactory open source?
- Yes - both are open-source projects on GitHub (LLM-RL-Visualized: Other, LlamaFactory: Apache-2.0).
- Where can I find alternatives to LLM-RL-Visualized or LlamaFactory?
- GraphCanon lists graph-backed alternatives at LLM-RL-Visualized alternatives and LlamaFactory alternatives (LLM-RL-Visualized 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, LLM-RL-Visualized or LlamaFactory?
- LLM-RL-Visualized: 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 LLM-RL-Visualized and LlamaFactory?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LLM-RL-Visualized trust report; LlamaFactory trust report.