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unsloth-fft

4.9

by majiayu000

174Favorites
134Upvotes
0Downvotes

Performing full fine-tuning (FFT) in Unsloth with 100% exact weight updates and optimized gradient checkpointing. Triggers include fft, full fine-tuning, full_finetuning, exact fine-tuning, and weight updates.

fine-tuning

4.9

Rating

0

Installs

Machine Learning

Category

Quick Review

This skill provides solid documentation for Unsloth full fine-tuning with clear workflows, decision trees, and memory management guidance. The description is actionable, and task knowledge is comprehensive with specific parameter recommendations. Structure is clean with good use of sections. However, novelty is limited as FFT is primarily a configuration change (setting flags like full_finetuning=True and use_gradient_checkpointing='unsloth') that a CLI agent could accomplish with library documentation. The skill's value lies more in consolidating best practices than in providing complex automation that would be token-intensive for an agent to derive independently.

LLM Signals

Description coverage7
Task knowledge8
Structure7
Novelty4

GitHub Signals

49
7
1
1
Last commit 0 days ago

Publisher

majiayu000

majiayu000

Skill Author

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Publisher

majiayu000 avatar
majiayu000

Skill Author

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