Comparison
LlamaFactory vs towhee
Verdict
Pick LlamaFactory when tags unique to LlamaFactory: gemma, fine-tuning, deepseek, ai; pick towhee when tags unique to towhee: feature-extraction, embedding-vectors, embeddings, convolutional-networks.
Markdown twin · LlamaFactory alternatives · towhee alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | LlamaFactory | towhee |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Dormant (631d 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
- towhee
- Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
Stars
- LlamaFactory
- 73k
- towhee
- 3.4k
Forks
- LlamaFactory
- 8.9k
- towhee
- 261
Open issues
- LlamaFactory
- 1.1k
- towhee
- 1
Language
- LlamaFactory
- Python
- towhee
- 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.
- towhee
- -
Persona
- LlamaFactory
- -
- towhee
- -
Runtime
- LlamaFactory
- -
- towhee
- -
License
- LlamaFactory
- Apache-2.0
- towhee
- Apache-2.0
Last pushed
- LlamaFactory
- Jul 10, 2026
- towhee
- Oct 18, 2024
Categories
- LlamaFactory
- Model Training, LLM Frameworks
- towhee
- LLM Frameworks, Vector Databases, Model Training
Trust and health
Maintenance
- LlamaFactory
- Very active (96%)
- towhee
- Dormant (18%)
Days since push
- LlamaFactory
- 0d
- towhee
- 631d
Open issues (now)
- LlamaFactory
- 1.1k
- towhee
- 1
Owner type
- LlamaFactory
- User
- towhee
- Organization
Full report
- LlamaFactory
- Trust report
- towhee
- Trust report
Choose LlamaFactory if…
- 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.
- More GitHub stars (73k vs 3.4k) - 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 towhee if…
- Tags unique to towhee: feature-extraction, embedding-vectors, embeddings, convolutional-networks.
- Also covers Vector Databases.
- Leaner open-issue backlog (1).
When NOT to use towhee
- Last GitHub push was 632 days ago (dormant maintenance, Oct 18, 2024). Validate activity before betting a new project on towhee.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
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 (towhee-io/towhee) · observed Jul 11, 2026
- GitHub forks (towhee-io/towhee) · observed Jul 11, 2026
- Last push (towhee-io/towhee) · observed Oct 18, 2024
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: LlamaFactory 73k · towhee 3.4k (synced Jul 11, 2026).
Common questions
- What is the difference between LlamaFactory and towhee?
- LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. towhee: Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.. See the comparison table for live GitHub stats and shared categories.
- When should I choose LlamaFactory over towhee?
- Choose LlamaFactory over towhee when 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; More GitHub stars (73k vs 3.4k) - visibility, not fit.
- When should I choose towhee over LlamaFactory?
- Choose towhee over LlamaFactory when Tags unique to towhee: feature-extraction, embedding-vectors, embeddings, convolutional-networks; Also covers Vector Databases; Leaner open-issue backlog (1).
- 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 towhee?
- Last GitHub push was 632 days ago (dormant maintenance, Oct 18, 2024). Validate activity before betting a new project on towhee. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- Is LlamaFactory or towhee more popular on GitHub?
- LlamaFactory has more GitHub stars (73,157 vs 3,449). Stars measure visibility, not whether either tool fits your constraints.
- Are LlamaFactory and towhee open source?
- Yes - both are open-source projects on GitHub (LlamaFactory: Apache-2.0, towhee: Apache-2.0).
- Where can I find alternatives to LlamaFactory or towhee?
- GraphCanon lists graph-backed alternatives at LlamaFactory alternatives and towhee alternatives (LlamaFactory markdown twin, towhee 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 towhee?
- LlamaFactory: Very active. towhee: Dormant. 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 towhee?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LlamaFactory trust report; towhee trust report.