Deploy the CLaaS Modal serverless distillation API with DistillWorker and FastAPI.
npx skills add https://github.com/kfallah/CLaaS --skill setup-modal
Please help me install this Agent Skill. Skill: setup-modal Source: https://github.com/kfallah/CLaaS/tree/main/.claude/skills/setup-modal Command: npx skills add https://github.com/kfallah/CLaaS --skill setup-modal
This Skill automates the deployment of the CLaaS Modal serverless distillation API, essential for production environments.
Invoke the setup-modal skill to deploy the Modal serverless distillation API.
High-intent search queries and answers about installing and using this skill.
To deploy a serverless distillation API to production using Modal, invoke the setup-modal skill, which manages the DistillWorker and FastAPI endpoint configuration for scalable remote GPU processing.
The CLaaS Modal distillation API is a serverless service that manages a DistillWorker with a Qwen3-8B student model and a FastAPI endpoint for handling feedback and distillation requests in production.
Yes, you need to configure the Modal CLI before deploying the distillation service, as the deployment requires it to handle initial model downloads and manage remote GPU processing infrastructure.
Yes, you can use the Qwen3-8B model as the student model for serverless distillation, managed through a FastAPI endpoint that processes feedback and distillation requests on remote GPUs.
Remote GPU processing with Modal requires the Modal CLI to be configured beforehand and involves initial model downloads for the Qwen3-8B student model, which may add startup overhead to the serverless deployment.
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