Unsloth
Fast and memory-efficient LLM fine-tuning library — claims 2-5× speedup, 60-80% memory savings on a single GPU vs HF baseline through custom Triton kernels.
Active · Verified 2026-10-27 · fresh as of 2026-10-27 · 22 cited facts, 5 with a third-party source · 1 recorded change · Suggest a correction
At a glance
- Type
- Fast/efficient LLM fine-tuning vendor fix
- Tier
- T1
- Section
- Training infrastructure
- Latest release
- v2026.10.9 (2026-10-26) — unsloth registry fix
- License
- Apache-2.0 (free tier) repo fix
- Pricing
- Free OSS; Pro/Enterprise paid vendor fix
- Funding
- $0 disclosed external funding; bootstrapped (operated by Daniel & Michael Han); Y Combinator S24. third-party fix
- Freshness
- 2026-10-27 fix
- Layer
- model-infra repo fix
- Licensing
- open-core (estimate) fix
- Developer activity
- OpenRank 70.19 (12-mo avg 48.14) · 390 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
Up to 2x faster fine-tuning, 70% less VRAM vs HF Transformers; supports Llama, Mistral, Gemma, Qwen, Phi; YC S24.
Technical surface
- API surface
- searched not found
- Backend storage
- searched not found
- Deployment
- Self-hosted only — library plus local Unsloth Studio web UI
- 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 (21 cited facts, 5 third-party)
Each fact links to the page it came from; the badge says who published it (how to read sources).
- What it is Fast/efficient LLM fine-tuning vendor
- What it does & what's distinct Fast and memory-efficient LLM fine-tuning library — claims 2-5× speedup, 60-80% memory s… vendor
- Claims / benefits Up to 2x faster fine-tuning, 70% less VRAM vs HF Transformers; supports Llama, Mistral, … vendor
- Created 2023 repo
- Latest release v2026.10.9 (2026-10-26) — unsloth registry
- License Apache-2.0 (free tier) repo
- GitHub unslothai/unsloth — ~78.6k stars, last commit 2026-10 repo
- Funding $0 disclosed external funding; bootstrapped (operated by Daniel & Michael Han); Y Combin… third-party
- Customers / scale OSS users; 30k+ GitHub stars; integrations with Hugging Face, vLLM, Together AI training. repo
- Pricing Free OSS; Pro/Enterprise paid vendor
- Deployment Self-hosted only — library plus local Unsloth Studio web UI vendor
- HQ San Francisco, CA, USA (YC); founders originally Sydney, Australia. third-party
- Founders / pedigree Daniel Han (CEO), Michael Han (CTO); brothers; founded 2023. third-party
- Code/weights release Active — last commit 2026-05 · 64,100★ repo
- cost-pricing-model subscription vendor
- cost-last-verified 2026-06-29 vendor
- adoption-accelerator yc-s24 third-party
- architecture-deployment-locus local vendor
- positioning-platform-vs-product platform vendor
- taxonomy-three-layer-rollup model-infra repo
- developer-activity-opendigger {"activity":1186.31,"as_of":"2026-09","openrank_12mo":48.14,"openrank_current":70.19,"pa… third-party
What changed
Changes to this record's lifecycle, licence, release, pricing and hosting facts, from the catalog's git history. Subscribe (Atom)