LLaMA-Factory
https://github.com/hiyouga/LlamaFactory
Unified efficient fine-tuning of 100+ LLMs — SFT, DPO, PPO, KTO, ORPO with LoRA/QLoRA/full; CLI + WebUI. Popular in the Chinese OSS scene.
Active · Verified 2026-10-28 · fresh as of 2026-10-28 · 17 cited facts, 1 with a third-party source · 2 recorded changes · Suggest a correction
At a glance
- Type
- Unified LLM fine-tuning toolbox repo fix
- Tier
- T2
- Section
- Training infrastructure
- Latest release
- v0.9.5 (2026-05-30) registry fix
- License
- Apache-2.0 repo fix
- Pricing
- searched not found fix
- Funding
- searched not found fix
- Freshness
- 2026-10-28 fix
- Layer
- model-infra repo fix
- Licensing
- open-source repo fix
- Developer activity
- OpenRank 6.82 (12-mo avg 29.34) · 58 participants — 2026-09 third-party fix
When to use
Optimised for: searched not found
Anti-fit: searched not found
Pros & cons
Pros
searched not found
Cons
searched not found
Claims & capabilities
Supports 100+ models, full FT/LoRA/QLoRA/DPO/PPO/KTO/ORPO; widely used in Chinese AI community; Apache-2.0.
Technical surface
- API surface
- searched not found
- Backend storage
- searched not found
- Deployment
- Self-hosted only — library with CLI and WebUI
- Embedding model
- not applicable — not a memory product
- Multi-tenancy
- searched not found
- MCP
- searched not found
- A2A
- searched not found
- OpenTelemetry
- searched not found
Similar systems
Other training infrastructure in the catalog, ranked by inbound references.
- MLflow T1
Databricks-incubated open platform for ML lifecycle — tracking, projects, models, model registry. Standard ML-ops baseline. MLflow 3.0 (2024) added LLM-eval features.
- AWS SageMaker T1
AWS's managed ML platform — Studio, Training, HyperPod (large-scale clusters), Endpoints. Industry-standard for enterprise AWS-hosted training.
- Weights & Biases T1
Experiment-tracking and ML-ops platform (metrics, artifacts, sweeps, Weave tracing/evals). Acquired by CoreWeave (completed 2025-05-05, ~$1.7B); now part of CoreWeave Forge.
- Comet ML T2
ML experiment tracking + LLM evaluation platform (Opik for LLM eval). Comet competes head-to-head with Weights & Biases.
- Azure Machine Learning T1
Microsoft Azure's managed ML platform — pipelines, AutoML, Designer, prompt flow (LLM). Heavy integration with Azure OpenAI and Azure AI Studio.
- LoRA T3
Microsoft Research's Low-Rank Adapters method — trains rank-r matrices added to attention weights; 10000x parameter reduction. Foundation of all adapter-style fine-tuning.
Sources (16 cited facts, 1 third-party)
Each fact links to the page it came from; the badge says who published it (how to read sources).
- What it is Unified LLM fine-tuning toolbox repo
- What it does & what's distinct Unified efficient fine-tuning of 100+ LLMs — SFT, DPO, PPO, KTO, ORPO with LoRA/QLoRA/fu… repo
- Claims / benefits Supports 100+ models, full FT/LoRA/QLoRA/DPO/PPO/KTO/ORPO; widely used in Chinese AI com… repo
- Created 2023 repo
- Latest release v0.9.5 (2026-05-30) registry
- License Apache-2.0 repo
- GitHub hiyouga/LlamaFactory — ~75.7k stars, last commit 2026-10 repo
- Deployment Self-hosted only — library with CLI and WebUI repo
- Code/weights release Active — last commit 2026-05 · 71,186★ repo
- commit-trajectory [{"ym":"2024-09","cum":2088},{"ym":"2024-10","cum":2169},{"ym":"2024-11","cum":2271},{"y… repo
- download-trajectory [{"ym":"2025-11","monthly":8440,"cum":8440},{"ym":"2025-12","monthly":16818,"cum":25258}… registry
- architecture-deployment-locus local repo
- licensing-bucket open-source repo
- positioning-platform-vs-product platform repo
- taxonomy-three-layer-rollup model-infra repo
- developer-activity-opendigger {"activity":97.45,"as_of":"2026-09","openrank_12mo":29.34,"openrank_current":6.82,"parti… third-party
What changed
Changes to this record's lifecycle, licence, release, pricing and hosting facts, from the catalog's git history. Subscribe (Atom)