Daniel Han
Works on Unsloth, open-source software for fine-tuning and running models on local hardware
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.41675
Work
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-2.0.6754
Unsloth on Hugging Face (external site: huggingface.co)
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.34
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