fastdeploy-llm-integration
OfficialAdd LLM deployment support to FastDeploy.
AuthorPaddlePaddle
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Guides you through adding inference deployment support for a new open-source LLM to the FastDeploy repository. Given a model path (local or HuggingFace/ModelScope hub), this skill walks through analyzing the model architecture, choosing the right base class, generating the model implementation file, updating registries, writing docs, and producing a deployment test script.
Core Features & Use Cases
- Analyze a model's architecture and select the appropriate base class.
- Generate model implementation files, update registries, write documentation, and create a deployment test script.
- Use case: port a HuggingFace/ModelScope LLM to FastDeploy and validate the integration with a deployment test.
Quick Start
Provide the model path (local or hub) and follow the guided steps to generate the FastDeploy integration artifacts.
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: fastdeploy-llm-integration Download link: https://github.com/PaddlePaddle/FastDeploy/archive/main.zip#fastdeploy-llm-integration Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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