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axolotl

7.5

by davila7

87Favorites
157Upvotes
0Downvotes

Expert guidance for fine-tuning LLMs with Axolotl - YAML configs, 100+ models, LoRA/QLoRA, DPO/KTO/ORPO/GRPO, multimodal support

fine-tuning

7.5

Rating

0

Installs

AI & LLM

Category

Quick Review

Strong skill for Axolotl LLM fine-tuning guidance. The description clearly communicates capabilities (YAML configs, LoRA/QLoRA, various training methods). SKILL.md provides good trigger conditions, common configuration patterns (FSDP, context parallelism, compression), and API examples. Structure is clean with references organized by topic. Task knowledge appears comprehensive with referenced files covering API, dataset formats, and other documentation. Novelty is moderate—while Axolotl configuration can be complex and this centralizes expertise, many patterns shown are straightforward YAML configs that a capable CLI agent could construct with general LLM knowledge. The skill adds clear value for multi-GPU setup, advanced parallelism strategies, and domain-specific optimization patterns that would otherwise require extensive documentation search.

LLM Signals

Description coverage8
Task knowledge8
Structure8
Novelty6

GitHub Signals

18,073
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Last commit 0 days ago

Publisher

davila7

davila7

Skill Author

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davila7

Skill Author

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