Daniel Han
A core developer of the Unsloth open-source fine-tuning framework, responsible for its research, development, and maintenance.
Core Facts
Timeline (last 90 days)
The release tag for this release is prebuilt-wheels-cu13, packaged and uploaded by Unsloth core developer Daniel Han.
Unsloth is a fine-tuning acceleration library developed by brothers Daniel and Michael Han, which optimizes performance through hand-written backpropagation CUDA/Triton kernels and kernel fusion.
Unsloth is a fine-tuning acceleration library developed by brothers Daniel and Michael Han that achieves speed gains through manually written backpropagation CUDA/Triton kernels, attention kernel fusion, and intelligent memory management.
Unsloth was founded by brothers Daniel Han and Michael Han.
All Facts (5)
Unsloth is an open-source project founded by brothers Daniel and Michael Han, focused on training acceleration and inference optimization for large models.
75%UnverifiedThe release tag for this release is prebuilt-wheels-cu13, packaged and uploaded by Unsloth core developer Daniel Han.
50%UnverifiedUnsloth is a fine-tuning acceleration library developed by brothers Daniel and Michael Han, which optimizes performance through hand-written backpropagation CUDA/Triton kernels and kernel fusion.
50%UnverifiedUnsloth is a fine-tuning acceleration library developed by brothers Daniel and Michael Han that achieves speed gains through manually written backpropagation CUDA/Triton kernels, attention kernel fusion, and intelligent memory management.
50%UnverifiedUnsloth was founded by brothers Daniel Han and Michael Han.
50%