research-deepspeed
Expert guidance for distributed training with DeepSpeed - ZeRO optimization stages, pipeline parallelism, FP16/BF16/FP8, 1-bit Adam, sparse attention
来源信息
- 仓库
- GrayCodeAI/starling
- 最近来源活动
- 2026年7月13日 09:28
- 检测到的 SKILL.md 语言
- 英语
- 星标
- 2
- 分支
- 0
安装方式
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
检查来源文件
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
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SKILL.md
来源说明 · 只读预览- name
- research-deepspeed
- description
- Expert guidance for distributed training with DeepSpeed - ZeRO optimization stages, pipeline parallelism, FP16/BF16/FP8, 1-bit Adam, sparse attention
- license
- MIT
- tags
- ["deepspeed","distributed-training","zero","pipeline-parallelism","mixed-precision"]
- version
- 1.0.0
- author
- Orchestra Research
- dependencies
- ["deepspeed","torch","transformers","accelerate"]
<!-- hawk-progressive-disclosure:v1 body-sha256=50a9f023fbfaa4d0b3bd16637553166c08d32c9b90a893ec51e9d5ff5266c1e4 parts=2 -->
# Progressive disclosure index
The complete skill instructions are preserved in the ordered references below.
Open the part whose headings match the current task; read all parts in order when
the task spans sections or requires the complete procedure.
## Detailed instructions
- [Part 1: Deepspeed Skill → When to Use This Skill](references/progressive-disclosure-part-001.md) — original lines 1–54 — @ref(progressive-disclosure-part-001.md)
- [Part 2: Example Code Patterns → Reference Files](references/progressive-disclosure-part-002.md) — original lines 55–128 — @ref(progressive-disclosure-part-002.md)
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