flywheel-ai/beauty-wellness

TEXT GENERATIONPricing:Input $0.4 / Cached $0.07 / Output $4Concurrent Unit Cost:3Model Size:35.1BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Jun 20, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

The flywheel-ai/beauty-wellness model is a fine-tuned vertical AI-employee model developed by Flywheel by OpSpot, based on the Qwen/Qwen3.6-35B-A3B architecture. This model is specifically optimized for the beauty-wellness domain, serving as a warm front-desk and operations assistant for salons, spas, and med-spas. It excels at tasks such as booking, rescheduling, answering service-menu and pricing questions, providing retail recommendations, and handling membership inquiries. The model is available in safetensors and GGUF formats, making it suitable for various deployment environments including vLLM, llama.cpp, and Ollama.

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Model Overview

The flywheel-ai/beauty-wellness model is an open-source, vertical AI-employee model developed by Flywheel by OpSpot. It is fine-tuned (LoRA) from the Qwen/Qwen3.6-35B-A3B base model, which operates under an Apache-2.0 license.

Key Capabilities

This model is specifically designed to function as a warm front-desk and operations assistant within the beauty-wellness domain, including salons, spas, and med-spas. Its core functionalities include:

  • Booking and Rescheduling: Efficiently manages appointments.
  • Service and Pricing Inquiries: Provides detailed information on service menus and pricing.
  • Retail Recommendations: Offers suggestions for beauty and wellness products.
  • Membership and Package Management: Assists with questions regarding memberships and packages.
  • Routine Aftercare: Provides guidance on post-procedure care.

Technical Details and Provenance

The model is available in safetensors format (for transformers / vLLM, approximately 65GB) and model-q4_k_m.gguf format (for llama.cpp / Ollama, approximately 20GB). Version 1.0 was trained on synthetic seed data generated by permissively-licensed local models (Apache/MIT teachers only), ensuring no distillation from closed models. Its niche capabilities are expected to sharpen with consented real usage data.

Guardrails

It is important to note that this model is not intended to provide medical advice. Any inquiries related to contraindications (e.g., pregnancy, skin reactions, prescription retinoids, allergies, post-procedure care) are explicitly deferred to a licensed dermatologist or physician.

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