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huggingface-accelerate

8.1

by davila7

53Favorites
279Upvotes
0Downvotes

Simplest distributed training API. 4 lines to add distributed support to any PyTorch script. Unified API for DeepSpeed/FSDP/Megatron/DDP. Automatic device placement, mixed precision (FP16/BF16/FP8). Interactive config, single launch command. HuggingFace ecosystem standard.

distributed training

8.1

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0

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Machine Learning

Category

Quick Review

Excellent skill documentation for HuggingFace Accelerate. The description accurately captures the '4 lines' value proposition and unified API approach. The SKILL.md provides comprehensive task knowledge with 5 detailed workflows covering progression from single-GPU to multi-GPU, mixed precision, DeepSpeed, FSDP, and gradient accumulation. Code examples are clear and practical, showing before/after comparisons. Structure is good with logical progression and references to advanced topics in separate files. The skill demonstrates moderate-to-high novelty: while Accelerate itself simplifies distributed training significantly, a CLI agent with PyTorch knowledge could technically implement distributed training, though this skill meaningfully reduces complexity and token usage by providing ready-made patterns for DeepSpeed/FSDP integration, interactive config workflows, and troubleshooting common issues. Minor improvements could include more explicit CLI commands for verification/debugging and clearer distinctions between configuration approaches (code vs config file vs interactive).

LLM Signals

Description coverage9
Task knowledge9
Structure8
Novelty7

GitHub Signals

18,073
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Last commit 0 days ago

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davila7

davila7

Skill Author

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davila7

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