Comparison
ChuanhuChatGPT vs LlamaFactory
Verdict
Pick ChuanhuChatGPT when license: ChuanhuChatGPT is GPL-3.0, LlamaFactory is Apache-2.0; pick LlamaFactory when license: LlamaFactory is Apache-2.0, ChuanhuChatGPT is GPL-3.0.
Markdown twin · ChuanhuChatGPT alternatives · LlamaFactory alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | ChuanhuChatGPT | LlamaFactory |
|---|---|---|
| Maintenance | Steady (75d since push) As of today · github_public_v1 | Very active (0d since push) As of 4d · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Personal account As of 4d · github_public_v1 |
| OSV dependency advisories | Published findings As of today · osv@v1 | No lockfile (source not queried) As of 4d · 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
- ChuanhuChatGPT
- GUI for ChatGPT API and many LLMs. Supports agents, file-based QA, GPT finetuning and query with web search. All with a neat UI.
- LlamaFactory
- Unified Efficient Fine-Tuning of 100+ LLMs & VLMs
Stars
- ChuanhuChatGPT
- 15k
- LlamaFactory
- 73k
Forks
- ChuanhuChatGPT
- 2.2k
- LlamaFactory
- 8.9k
Open issues
- ChuanhuChatGPT
- 129
- LlamaFactory
- 1.1k
Language
- ChuanhuChatGPT
- Python
- LlamaFactory
- Python
Adopt for
- ChuanhuChatGPT
- -
- 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.
Persona
- ChuanhuChatGPT
- -
- LlamaFactory
- -
Runtime
- ChuanhuChatGPT
- -
- LlamaFactory
- -
License
- ChuanhuChatGPT
- GPL-3.0
- LlamaFactory
- Apache-2.0
Last pushed
- ChuanhuChatGPT
- Apr 30, 2026
- LlamaFactory
- Jul 10, 2026
Categories
- ChuanhuChatGPT
- AI Agents, LLM Frameworks, Model Training
- LlamaFactory
- LLM Frameworks, Model Training
Trust and health
Maintenance
- ChuanhuChatGPT
- Steady (60%)
- LlamaFactory
- Very active (96%)
Days since push
- ChuanhuChatGPT
- 75d
- LlamaFactory
- 0d
Open issues (now)
- ChuanhuChatGPT
- 129
- LlamaFactory
- 1.1k
OSV dependency advisories
- ChuanhuChatGPT
- Published findings
- LlamaFactory
- No lockfile (source not queried)
Full report
- ChuanhuChatGPT
- Trust report
- LlamaFactory
- Trust report
Choose ChuanhuChatGPT if…
- License: ChuanhuChatGPT is GPL-3.0, LlamaFactory is Apache-2.0.
- Tags unique to ChuanhuChatGPT: chatbot, chatglm, chatgpt-api, claude.
- Also covers AI Agents.
- ChuanhuChatGPT ships Docker support for self-hosted deployment.
When NOT to use ChuanhuChatGPT
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- 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.
Choose LlamaFactory if…
- License: LlamaFactory is Apache-2.0, ChuanhuChatGPT is GPL-3.0.
- Tags unique to LlamaFactory: agent, ai, deepseek, fine-tuning.
- 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
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (GaiZhenbiao/ChuanhuChatGPT) · observed Jul 15, 2026
- GitHub forks (GaiZhenbiao/ChuanhuChatGPT) · observed Jul 15, 2026
- Last push (GaiZhenbiao/ChuanhuChatGPT) · observed Apr 30, 2026
- License file (GPL-3.0) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- 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 on cards: ChuanhuChatGPT 15k · LlamaFactory 73k (synced Jul 15, 2026).
Common questions
- What is the difference between ChuanhuChatGPT and LlamaFactory?
- ChuanhuChatGPT: GUI for ChatGPT API and many LLMs. Supports agents, file-based QA, GPT finetuning and query with web search. All with a neat UI.. LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. See the comparison table for live GitHub stats and shared categories.
- When should I choose ChuanhuChatGPT over LlamaFactory?
- Choose ChuanhuChatGPT over LlamaFactory when License: ChuanhuChatGPT is GPL-3.0, LlamaFactory is Apache-2.0; Tags unique to ChuanhuChatGPT: chatbot, chatglm, chatgpt-api, claude; Also covers AI Agents; ChuanhuChatGPT ships Docker support for self-hosted deployment.
- When should I choose LlamaFactory over ChuanhuChatGPT?
- Choose LlamaFactory over ChuanhuChatGPT when License: LlamaFactory is Apache-2.0, ChuanhuChatGPT is GPL-3.0; Tags unique to LlamaFactory: agent, ai, deepseek, fine-tuning; When you need to fine-tune over 100 different LLMs or VLMs with efficient methods like LoRA or QLoRA.
- When should I avoid ChuanhuChatGPT?
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. 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.
- 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
- Is ChuanhuChatGPT or LlamaFactory more popular on GitHub?
- LlamaFactory has more GitHub stars (73,157 vs 15,300). Stars measure visibility, not whether either tool fits your constraints.
- Are ChuanhuChatGPT and LlamaFactory open source?
- Yes - both are open-source projects on GitHub (ChuanhuChatGPT: GPL-3.0, LlamaFactory: Apache-2.0).
- Where can I find alternatives to ChuanhuChatGPT or LlamaFactory?
- GraphCanon lists graph-backed alternatives at ChuanhuChatGPT alternatives and LlamaFactory alternatives (ChuanhuChatGPT 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, ChuanhuChatGPT or LlamaFactory?
- ChuanhuChatGPT: Steady. 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 ChuanhuChatGPT and LlamaFactory?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ChuanhuChatGPT trust report; LlamaFactory trust report.