unsloth-inference

What problem does it solve?

This Skill optimizes the deployment of fine-tuned large language models for production inference, significantly improving speed and reducing VRAM usage.

Core Features & Use Cases

• Native Optimized Inference: Achieve 2x faster inference locally using FastLanguageModel.for_inference().
• Production Serving: Merge LoRA weights for deployment with high-throughput engines like vLLM or SGLang.
• OpenAI-Compatible API: Easily serve models locally for drop-in replacement in existing applications.
• Use Case: Deploy a fine-tuned LLM for a customer support chatbot that needs to respond quickly and handle a high volume of user queries.

Quick Start

Load the fine-tuned model and run local optimized inference using the provided script.