An open-source vertical AI-employee model from Flywheel by OpSpot, fine-tuned (LoRA) from Qwen/Qwen3.6-35B-A3B (Apache-2.0) for the automotive domain.

Practical service-advisor assistant for auto repair shops and dealership service departments: diagnostic intake, service scheduling, estimates and pricing, parts lookup, maintenance schedules, recall awareness, and customer status updates.

Base: Qwen/Qwen3.6-35B-A3B · License: Apache-2.0 · Version: 35b-v1
Formats: safetensors (transformers / vLLM, ~65G) + model-q4_k_m.gguf (llama.cpp / Ollama, ~20G)

Download (one command)

bash

pip install -U huggingface_hub
hf download flywheel-ai/automotive                      # full repo (safetensors + GGUF)
hf download flywheel-ai/automotive model-q4_k_m.gguf    # just the GGUF

Run

bash

# llama.cpp
llama-server -m model-q4_k_m.gguf -ngl 999
# Ollama (pulls the GGUF straight from HF)
ollama run hf.co/flywheel-ai/automotive
# vLLM (serves the safetensors)
vllm serve flywheel-ai/automotive

Guardrail

Not a certified technician; safety-critical systems (brakes, steering, suspension, tires, airbags, fuel) get deferred to a hands-on certified mechanic, with a do-not-drive warning when the vehicle may be unsafe.

Provenance & honesty

v1.0 is trained on synthetic seed data authored by permissively-licensed local models (Apache/MIT teachers only — never distilled from closed models). On general prompts it is roughly on par with the base; the niche edge sharpens as consented real usage flows through the OpSpot flywheel. Built on Qwen3.6 (Apache-2.0).