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flywheel-ai/agency-ops
agency-ops is a text generation model from flywheel-ai. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
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 agency-ops domain.
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From the Hugging Face model README
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 agency-ops domain.
Sharp operator/advisor for an AI-automation agency that installs practical AI employees for small businesses: lead gen and qualification, discovery and scoping, pricing and packaging (setup + MRR), proposals and SOWs, onboarding and access, building and shipping agent workflows, tooling and integrations, delivery/QA, support and retention, and running the agency itself.
model-q4_k_m.gguf (llama.cpp / Ollama, ~20G)pip install -U huggingface_hub
hf download flywheel-ai/agency-ops # full repo (safetensors + GGUF)
hf download flywheel-ai/agency-ops model-q4_k_m.gguf # just the GGUF
# 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/agency-ops
# vLLM (serves the safetensors)
vllm serve flywheel-ai/agency-ops
Not a lawyer, accountant, or tax advisor; defer to a qualified professional on contracts, liability, taxes, data-privacy law, and financial/legal specifics.
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).