Builders & open source
Daniel Han
Listed on Unsloth's About page for software, data, and algorithms, Unsloth
Daniel Han works on Unsloth, which the README says can be used as a desktop app, a web UI, or in code to run and train language, diffusion, embedding, and audio models. Unsloth's About page lists Daniel Han for software, data, and algorithms. Daniel Han made the repository's first commits in November 2023 and still commits to it, and its CODEOWNERS file names Daniel Han as owner of the training, reinforcement learning, kernels, and diffusion training areas.12345
At a glance
- Current role
- Listed on Unsloth's About page for software, data, and algorithms
- Company
- Unsloth
- Sector
- Company
- Work listed
- 2
- Sources cited
- 10
- Profile reviewed
Open-source work
Daniel Han made the first commits to the Unsloth repository on November 29, 2023, and the README's citation entry, dated 2023, credits Daniel Han, Michael Han and the Unsloth team as authors. The project's core package is licensed under Apache 2.0, with optional components such as the Studio interface under AGPL-3.0.31
The repository's CODEOWNERS file lists Daniel Han as area owner for training, reinforcement learning, kernels and diffusion training, and assigns the core library directories for kernels, model patching, optimizers and data preparation to Daniel Han.5
Products and projects
Unsloth now ships as a desktop app, a browser-based Studio interface and a Python package for running and fine-tuning models on local hardware, with guides for reinforcement learning, vision, text-to-speech and embedding fine-tuning. Release versions of the package have been published on the Python Package Index since August 2024.189
Through the Unsloth organization on Hugging Face, of which Daniel Han is a member, the team publishes model uploads such as GGUF quantizations for running open models locally.710
Work and contributions
Unsloth (open-source library, Studio, and Desktop)
Made the repository's initial commit and first upload of Unsloth code on 2023-11-29, and continues to author commits. The CODEOWNERS file names Daniel Han as area owner for training, reinforcement learning, kernels, and diffusion training, and the README's citation entry lists Daniel Han, Michael Han, and the Unsloth team as authors. The core library is Apache-2.0.3451
Unsloth on Hugging Face
One of the two members listed on the Unsloth organization page on Hugging Face, where Unsloth publishes model uploads, including GGUF versions for running models locally.71
Timeline
Where they work
- Unsloth 2 people in the wiki
Related people
- Michael HanAlso at Unsloth
- Peter SalankiTraining systems · Inference and serving
- Furu WeiInference and serving · Training systems
- Vipul Ved PrakashInference and serving · Training systems
- Zhuohan LiInference and serving · Training systems
- Tim DettmersTraining systems · Inference and serving
- Hao ZhangInference and serving · Training systems
- Kunle OlukotunTraining systems · Inference and serving
- Ion StoicaInference and serving · Training systems
- Priya NagpurkarInference and serving · Training systems
Suggest a correction or removal
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References
10 sources · profile reviewed Oct 21, 2026 · data updated Oct 21, 2026
- unslothai/unsloth README (usage, citation, and license)
- About | Unsloth
- unslothai/unsloth — "First upload of Unsloth code" (2023-11-29)
- unslothai/unsloth commits authored by danielhanchen
- unslothai/unsloth CODEOWNERS
- danielhanchen (Daniel Han) on GitHub
- Unsloth AI on Hugging Face (organization page and members)
- Unsloth Documentation
- unsloth — release data on PyPI (JSON API)
- danielhanchen on Hugging Face