AIPM package
@orchestra-research/miles@1.0.0
Provides guidance for enterprise-grade RL training using miles, a production-ready fork of slime.
Scanned · no issuesPins this version in aipm.package.json and aipm-lock.json.
aipm add @orchestra-research/miles@1.0.0Writes the skill files only. Add --no-init to skip aipm.package.json and the lockfile.
aipm add @orchestra-research/miles@1.0.0 --no-initInstall the skill above, then run this in your AI tool:
/miles <your description>miles is a high-performance, enterprise-ready RL framework optimized for large-scale model post-training. Built as a production fork of slime, it addresses critical challenges in MoE training stability, low-precision training, and train-inference alignment.
Source
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AI assistant context
@orchestra-research/miles@1.0.0 is an AIPM skill package for All tools. Use it when a project needs the reusable AI behavior described as: Provides guidance for enterprise-grade RL training using miles, a production-ready fork of slime. Use when training large MoE models with FP8/INT4, needing train-inference alignment, or requiring speculative RL for maximum throughput.
Tool targets
Add --no-init to any of these when you want the skill files without aipm.package.json or aipm-lock.json.
Run this variant when you want to install the package into cursor.
aipm add @orchestra-research/miles@1.0.0 --target cursor --ciRun this variant when you want to install the package into claude.
aipm add @orchestra-research/miles@1.0.0 --target claude --ciKeep exploring
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Package FAQ
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