Comparison
Fun-ASR vs LlamaFactory
Verdict
Pick Fun-ASR when fun-ASR is primarily C; LlamaFactory is Python; pick LlamaFactory when llamaFactory is primarily Python; Fun-ASR is C.
Markdown twin · Fun-ASR alternatives · LlamaFactory alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | Fun-ASR | LlamaFactory |
|---|---|---|
| Maintenance | Very active (4d since push) As of today · github_public_v1 | Very active (0d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | 26 low (26 low) As of today · osv@v1 | No lockfile As of today · none |
Tagline
- Fun-ASR
- Fun-ASR-Nano LLM-ASR model: 31 languages, dialects, accents, lyrics, hotwords, timestamps, and speaker diarization.
- LlamaFactory
- Unified Efficient Fine-Tuning of 100+ LLMs & VLMs
Stars
- Fun-ASR
- 1.4k
- LlamaFactory
- 73k
Forks
- Fun-ASR
- 136
- LlamaFactory
- 8.9k
Open issues
- Fun-ASR
- 0
- LlamaFactory
- 1.1k
Language
- Fun-ASR
- C
- LlamaFactory
- Python
Adopt for
- Fun-ASR
- -
- 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
- Fun-ASR
- -
- LlamaFactory
- -
Runtime
- Fun-ASR
- -
- LlamaFactory
- -
License
- Fun-ASR
- Apache-2.0
- LlamaFactory
- Apache-2.0
Last pushed
- Fun-ASR
- Jul 7, 2026
- LlamaFactory
- Jul 10, 2026
Categories
- Fun-ASR
- LLM Frameworks, Model Training, Inference & Serving
- LlamaFactory
- Model Training, LLM Frameworks
Trust and health
Days since push
- Fun-ASR
- 4d
- LlamaFactory
- 0d
Open issues (now)
- Fun-ASR
- 0
- LlamaFactory
- 1.1k
Owner type
- Fun-ASR
- Organization
- LlamaFactory
- User
Security scan
- Fun-ASR
- 26 low (26 low)
- LlamaFactory
- No lockfile
Full report
- Fun-ASR
- Trust report
- LlamaFactory
- Trust report
Choose Fun-ASR if…
- Fun-ASR is primarily C; LlamaFactory is Python.
- Tags unique to Fun-ASR: asr, audio-language-model, fun-asr, audio.
- Also covers Inference & Serving.
When NOT to use Fun-ASR
- 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.
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
Choose LlamaFactory if…
- LlamaFactory is primarily Python; Fun-ASR is C.
- 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
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (FunAudioLLM/Fun-ASR) · observed Jul 11, 2026
- GitHub forks (FunAudioLLM/Fun-ASR) · observed Jul 11, 2026
- Last push (FunAudioLLM/Fun-ASR) · observed Jul 7, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 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: Fun-ASR 1.4k · LlamaFactory 73k (synced Jul 11, 2026).
Common questions
- What is the difference between Fun-ASR and LlamaFactory?
- Fun-ASR: Fun-ASR-Nano LLM-ASR model: 31 languages, dialects, accents, lyrics, hotwords, timestamps, and speaker diarization.. LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. See the comparison table for live GitHub stats and shared categories.
- When should I choose Fun-ASR over LlamaFactory?
- Choose Fun-ASR over LlamaFactory when Fun-ASR is primarily C; LlamaFactory is Python; Tags unique to Fun-ASR: asr, audio-language-model, fun-asr, audio; Also covers Inference & Serving.
- When should I choose LlamaFactory over Fun-ASR?
- Choose LlamaFactory over Fun-ASR when LlamaFactory is primarily Python; Fun-ASR is C; 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 avoid Fun-ASR?
- 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. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- 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 Fun-ASR or LlamaFactory more popular on GitHub?
- LlamaFactory has more GitHub stars (73,157 vs 1,381). Stars measure visibility, not whether either tool fits your constraints.
- Are Fun-ASR and LlamaFactory open source?
- Yes - both are open-source projects on GitHub (Fun-ASR: Apache-2.0, LlamaFactory: Apache-2.0).
- Where can I find alternatives to Fun-ASR or LlamaFactory?
- GraphCanon lists graph-backed alternatives at Fun-ASR alternatives and LlamaFactory alternatives (Fun-ASR 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, Fun-ASR or LlamaFactory?
- Fun-ASR: Very 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 Fun-ASR and LlamaFactory?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Fun-ASR trust report; LlamaFactory trust report.