Finetuning Method Selection
by wshobson46891e7e60daNo licenseListed Oct 8, 2026Updated Oct 8, 2026
Decide whether to fine-tune at all, and route to the right method (SFT, DPO/ORPO/KTO, GRPO/RLVR, continued pretraining) and base model. Use when starting any fine-tuning effort, when unsure whether RAG or prompting would suffice, or when choosing between preference-optimization and reinforcement methods.
Only the file list is public. File contents are available once the skill is installed in a workspace.
| Path | Size | Type |
|---|---|---|
| references/memory-math.md | 5.3 KB | text/markdown |
| references/model-catalog.md | 2.7 KB | text/markdown |
| SKILL.md | 7.7 KB | text/markdown |
Source and attribution
Source:wshobson/agentsinplugins/llm-finetuning/skills/finetuning-method-selectionat commit46891e7
License: No license
Content belongs to its original authors. SourceWeft indexes it from a public repository.
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