Comparison
LlamaFactory vs CodeGen
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 CodeGen if codeGen is a series of open-source large language models designed for program synthesis. Trained on TPUs, CodeGen offers several versions with varying capabilities from basic code generation to.
Markdown twin · LlamaFactory alternatives · CodeGen alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | LlamaFactory | CodeGen |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Steady (39d 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
- CodeGen
- Family of open-source models for program synthesis.
Stars
- LlamaFactory
- 73k
- CodeGen
- 5.2k
Forks
- LlamaFactory
- 8.9k
- CodeGen
- 423
Open issues
- LlamaFactory
- 1.1k
- CodeGen
- 48
Language
- LlamaFactory
- Python
- CodeGen
- 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.
- CodeGen
- CodeGen is a series of open-source large language models designed for program synthesis. Trained on TPUs, CodeGen offers several versions with varying capabilities from basic code generation to advanced infill sampling.
Persona
- LlamaFactory
- -
- CodeGen
- -
Runtime
- LlamaFactory
- -
- CodeGen
- -
License
- LlamaFactory
- Apache-2.0
- CodeGen
- Apache-2.0
Last pushed
- LlamaFactory
- Jul 10, 2026
- CodeGen
- Jun 2, 2026
Categories
- LlamaFactory
- LLM Frameworks, Model Training
- CodeGen
- LLM Frameworks, Model Training
Trust and health
Maintenance
- LlamaFactory
- Very active (96%)
- CodeGen
- Steady (60%)
Days since push
- LlamaFactory
- 0d
- CodeGen
- 39d
Open issues (now)
- LlamaFactory
- 1.1k
- CodeGen
- 48
Owner type
- LlamaFactory
- User
- CodeGen
- Organization
Full report
- LlamaFactory
- Trust report
- CodeGen
- Trust report
Choose LlamaFactory if…
- 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.
- More GitHub stars (73k vs 5.2k) - 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 CodeGen if…
- Tags unique to CodeGen: codex, generativemodel, languagemodel, llm.
- When you require high-performance model training and code generation that matches or exceeds the performance of OpenAI Codex on specific tasks
- Leaner open-issue backlog (48).
When NOT to use CodeGen
- In scenarios where the model's primary use is not centered around code generation or program synthesis, as its specialized training may limit its effectiveness for other types of generative tasks
- If your project strictly requires a smaller memory footprint or simpler deployment because advanced models like CodeGen2.5 require significant computational resources and setup
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 (salesforce/CodeGen) · observed Jul 11, 2026
- GitHub forks (salesforce/CodeGen) · observed Jul 11, 2026
- Last push (salesforce/CodeGen) · observed Jun 2, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: LlamaFactory 73k · CodeGen 5.2k (synced Jul 11, 2026).
Common questions
- What is the difference between LlamaFactory and CodeGen?
- LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. CodeGen: Family of open-source models for program synthesis.. See the comparison table for live GitHub stats and shared categories.
- When should I choose LlamaFactory over CodeGen?
- Choose LlamaFactory over CodeGen when 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; More GitHub stars (73k vs 5.2k) - visibility, not fit.
- When should I choose CodeGen over LlamaFactory?
- Choose CodeGen over LlamaFactory when Tags unique to CodeGen: codex, generativemodel, languagemodel, llm; When you require high-performance model training and code generation that matches or exceeds the performance of OpenAI Codex on specific tasks; Leaner open-issue backlog (48).
- 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 CodeGen?
- In scenarios where the model's primary use is not centered around code generation or program synthesis, as its specialized training may limit its effectiveness for other types of generative tasks If your project strictly requires a smaller memory footprint or simpler deployment because advanced models like CodeGen2.5 require significant computational resources and setup
- Is LlamaFactory or CodeGen more popular on GitHub?
- LlamaFactory has more GitHub stars (73,157 vs 5,177). Stars measure visibility, not whether either tool fits your constraints.
- Are LlamaFactory and CodeGen open source?
- Yes - both are open-source projects on GitHub (LlamaFactory: Apache-2.0, CodeGen: Apache-2.0).
- Where can I find alternatives to LlamaFactory or CodeGen?
- GraphCanon lists graph-backed alternatives at LlamaFactory alternatives and CodeGen alternatives (LlamaFactory markdown twin, CodeGen 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 CodeGen?
- LlamaFactory: Very active. CodeGen: Steady. 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 CodeGen?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LlamaFactory trust report; CodeGen trust report.