Comparison
LlamaFactory vs WhisperJAV
Verdict
Pick LlamaFactory when license: LlamaFactory is Apache-2.0, WhisperJAV is MIT; pick WhisperJAV when license: WhisperJAV is MIT, LlamaFactory is Apache-2.0.
Markdown twin · LlamaFactory alternatives · WhisperJAV alternatives
GraphCanon updated today
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Trust & integrity
| Signal | LlamaFactory | WhisperJAV |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Steady (61d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Personal 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
- WhisperJAV
- ASR/STT subtitle generator. Uses Qwen3-ASR, local LLM, Whisper, TEN-VAD. Noise-robust for JAV
Stars
- LlamaFactory
- 73k
- WhisperJAV
- 1.8k
Forks
- LlamaFactory
- 8.9k
- WhisperJAV
- 159
Open issues
- LlamaFactory
- 1.1k
- WhisperJAV
- 122
Language
- LlamaFactory
- Python
- WhisperJAV
- 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.
- WhisperJAV
- -
Persona
- LlamaFactory
- -
- WhisperJAV
- -
Runtime
- LlamaFactory
- -
- WhisperJAV
- -
License
- LlamaFactory
- Apache-2.0
- WhisperJAV
- MIT
Last pushed
- LlamaFactory
- Jul 10, 2026
- WhisperJAV
- May 10, 2026
Categories
- LlamaFactory
- LLM Frameworks, Model Training
- WhisperJAV
- Model Training, LLM Frameworks, Speech & Audio
Trust and health
Maintenance
- LlamaFactory
- Very active (96%)
- WhisperJAV
- Steady (60%)
Days since push
- LlamaFactory
- 0d
- WhisperJAV
- 61d
Open issues (now)
- LlamaFactory
- 1.1k
- WhisperJAV
- 122
Full report
- LlamaFactory
- Trust report
- WhisperJAV
- Trust report
Choose LlamaFactory if…
- License: LlamaFactory is Apache-2.0, WhisperJAV is MIT.
- Tags unique to LlamaFactory: gemma, fine-tuning, deepseek, ai.
- 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 WhisperJAV if…
- License: WhisperJAV is MIT, LlamaFactory is Apache-2.0.
- Tags unique to WhisperJAV: llm, speech-to-text, hallucination, japanese.
- Also covers Speech & Audio.
When NOT to use WhisperJAV
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
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 (meizhong986/WhisperJAV) · observed Jul 11, 2026
- GitHub forks (meizhong986/WhisperJAV) · observed Jul 11, 2026
- Last push (meizhong986/WhisperJAV) · observed May 10, 2026
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: LlamaFactory 73k · WhisperJAV 1.8k (synced Jul 11, 2026).
Common questions
- What is the difference between LlamaFactory and WhisperJAV?
- LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. WhisperJAV: ASR/STT subtitle generator. Uses Qwen3-ASR, local LLM, Whisper, TEN-VAD. Noise-robust for JAV. See the comparison table for live GitHub stats and shared categories.
- When should I choose LlamaFactory over WhisperJAV?
- Choose LlamaFactory over WhisperJAV when License: LlamaFactory is Apache-2.0, WhisperJAV is MIT; Tags unique to LlamaFactory: gemma, fine-tuning, deepseek, ai; When you need to fine-tune over 100 different LLMs or VLMs with efficient methods like LoRA or QLoRA.
- When should I choose WhisperJAV over LlamaFactory?
- Choose WhisperJAV over LlamaFactory when License: WhisperJAV is MIT, LlamaFactory is Apache-2.0; Tags unique to WhisperJAV: llm, speech-to-text, hallucination, japanese; Also covers Speech & Audio.
- 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 WhisperJAV?
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Is LlamaFactory or WhisperJAV more popular on GitHub?
- LlamaFactory has more GitHub stars (73,157 vs 1,844). Stars measure visibility, not whether either tool fits your constraints.
- Are LlamaFactory and WhisperJAV open source?
- Yes - both are open-source projects on GitHub (LlamaFactory: Apache-2.0, WhisperJAV: MIT).
- Where can I find alternatives to LlamaFactory or WhisperJAV?
- GraphCanon lists graph-backed alternatives at LlamaFactory alternatives and WhisperJAV alternatives (LlamaFactory markdown twin, WhisperJAV 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 WhisperJAV?
- LlamaFactory: Very active. WhisperJAV: 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 WhisperJAV?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LlamaFactory trust report; WhisperJAV trust report.