High-level PyTorch framework with Trainer class, automatic distributed training (DDP/FSDP/DeepSpeed), callbacks system, and minimal boilerplate. Scales from laptop to supercomputer with same code. Use when you want clean training loops with built-in best practices.
huggingface-accelerate
huggingface-accelerate is an open-source backend skill for Claude Code and compatible agents, published by Orchestra-Research. Its author describes it as: “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…”. The project has 12k stars on GitHub and is available under the MIT license. Add it to your setup with `/plugin marketplace add Orchestra-Research/AI-Research-SKILLs`.
What huggingface-accelerate does
Accelerate simplifies distributed training to 4 lines of code.
Installation
Add huggingface-accelerate to your agent with:
/plugin marketplace add Orchestra-Research/AI-Research-SKILLsAlways review a skill's source before installing it. This command comes from the skill's public repository; the linked repo is the source of truth for exact setup steps.
What's inside
The SKILL.md for huggingface-accelerate is organised into these sections:
- Quick start
- Common workflows
- Workflow 1: From single GPU to multi-GPU
- Workflow 2: Mixed precision training
- Workflow 3: DeepSpeed ZeRO integration
- Workflow 4: FSDP (Fully Sharded Data Parallel)
- Workflow 5: Gradient accumulation
- When to use vs alternatives
- Common issues
- Advanced topics
- Hardware requirements
- Resources
When to use it
Reach for huggingface-accelerate when you want backend help from your agent without writing the same instructions every session. Load the skill and the agent picks it up automatically for relevant tasks.
Strengths
- Clear MIT license — safe to read and adapt
- Ships in Orchestra-Research/AI-Research-SKILLs, an established project with 11,807 GitHub stars
- Actively maintained (recent commits)
Topics
Frequently asked questions
- What does huggingface-accelerate do?
- 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.
- How do I install huggingface-accelerate?
- Run /plugin marketplace add Orchestra-Research/AI-Research-SKILLs in your agent, then reload your skills. Review the source at https://github.com/Orchestra-Research/AI-Research-SKILLs before installing.
- Is huggingface-accelerate free to use?
- Yes. huggingface-accelerate is free and open source under the MIT license, so you can read, run, and adapt it within that license's terms.
- Where does huggingface-accelerate come from?
- huggingface-accelerate ships inside Orchestra-Research/AI-Research-SKILLs, a repository that contains 41 catalogued skills in total. The repository's 11,807 GitHub stars apply to that whole collection, not to this skill on its own.
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