weights
OfficialEnd-to-end weight lifecycle management.
Authorthinking-machines-lab
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Fine-tuned model workflows often require moving weights between systems, merging adapters, and publishing finished models. This Skill standardizes and automates those steps to reduce manual overhead and errors.
Core Features & Use Cases
- Download trained adapters from Tinker and store them locally.
- Merge LoRA adapters into base HuggingFace models for deployable artifacts.
- Publish trained models to HuggingFace Hub for sharing or production use.
Quick Start
Download a LoRA adapter, merge it into a base model, and publish the final model to HuggingFace.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: weights Download link: https://github.com/thinking-machines-lab/tinker-cookbook/archive/main.zip#weights Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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