huggingface-accelerate
huggingface-accelerate is a Model training & evaluation skill for AI agents, published by davila7 in the claude-code-templates repository on GitHub. Skillspace rates huggingface-accelerate B (85/100) and it passed the safety scan; a judge model has also reviewed it.
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.
- Grade
- B
- Quality
- 85 / 100
- Safety
- Passed
- GitHub stars
- 30,694
Placed #2 of 6 in the judged category final for Model training & evaluation.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 96 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Judge review
Placed #2 of 6 in the judged category final for Model training & evaluation.
- Trigger
88 88 - Instructions
76 76 - Specificity
78 78 - Safety
80 80 - Disclosure
45 45 - Maintenance
42 42
The '4 lines' pitch and diff-style before/after code make the trigger and instructions unusually clear for a single-file skill.
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
Also published in 1 other repo
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